Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- .gitattributes +60 -0
- README.md +206 -8
- adapter_config.json +42 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +4 -0
- chat_template.jinja +282 -0
- checkpoint-100/README.md +207 -0
- checkpoint-100/adapter_config.json +42 -0
- checkpoint-100/adapter_model.safetensors +3 -0
- checkpoint-100/added_tokens.json +4 -0
- checkpoint-100/chat_template.jinja +282 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/special_tokens_map.json +34 -0
- checkpoint-100/tokenizer.json +3 -0
- checkpoint-100/tokenizer.model +3 -0
- checkpoint-100/tokenizer_config.json +0 -0
- checkpoint-100/trainer_state.json +174 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-1000/README.md +207 -0
- checkpoint-1000/adapter_config.json +42 -0
- checkpoint-1000/adapter_model.safetensors +3 -0
- checkpoint-1000/added_tokens.json +4 -0
- checkpoint-1000/chat_template.jinja +282 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/special_tokens_map.json +34 -0
- checkpoint-1000/tokenizer.json +3 -0
- checkpoint-1000/tokenizer.model +3 -0
- checkpoint-1000/tokenizer_config.json +0 -0
- checkpoint-1000/trainer_state.json +1434 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1100/README.md +207 -0
- checkpoint-1100/adapter_config.json +42 -0
- checkpoint-1100/adapter_model.safetensors +3 -0
- checkpoint-1100/added_tokens.json +4 -0
- checkpoint-1100/chat_template.jinja +282 -0
- checkpoint-1100/optimizer.pt +3 -0
- checkpoint-1100/rng_state.pth +3 -0
- checkpoint-1100/scheduler.pt +3 -0
- checkpoint-1100/special_tokens_map.json +34 -0
- checkpoint-1100/tokenizer.json +3 -0
- checkpoint-1100/tokenizer.model +3 -0
- checkpoint-1100/tokenizer_config.json +0 -0
- checkpoint-1100/trainer_state.json +1574 -0
- checkpoint-1100/training_args.bin +3 -0
- checkpoint-1200/README.md +207 -0
- checkpoint-1200/adapter_config.json +42 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,63 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
checkpoint-100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
checkpoint-1100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
checkpoint-1200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
checkpoint-1300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
checkpoint-1400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
checkpoint-1500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
checkpoint-1600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
checkpoint-1700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
checkpoint-1800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 46 |
+
checkpoint-1900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 47 |
+
checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 48 |
+
checkpoint-2000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 49 |
+
checkpoint-2100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
checkpoint-2200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 51 |
+
checkpoint-2300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 52 |
+
checkpoint-2400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 53 |
+
checkpoint-2500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 54 |
+
checkpoint-2600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 55 |
+
checkpoint-2700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 56 |
+
checkpoint-2800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 57 |
+
checkpoint-2900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 58 |
+
checkpoint-300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 59 |
+
checkpoint-3000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 60 |
+
checkpoint-3100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 61 |
+
checkpoint-3200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 62 |
+
checkpoint-3300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 63 |
+
checkpoint-3400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 64 |
+
checkpoint-3500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 65 |
+
checkpoint-3600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 66 |
+
checkpoint-3700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 67 |
+
checkpoint-3800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 68 |
+
checkpoint-3900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 69 |
+
checkpoint-400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 70 |
+
checkpoint-4000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 71 |
+
checkpoint-4100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 72 |
+
checkpoint-4200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 73 |
+
checkpoint-4300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 74 |
+
checkpoint-4400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 75 |
+
checkpoint-4500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 76 |
+
checkpoint-4600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 77 |
+
checkpoint-4700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 78 |
+
checkpoint-4800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 79 |
+
checkpoint-4900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 80 |
+
checkpoint-50/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 81 |
+
checkpoint-500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 82 |
+
checkpoint-5000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 83 |
+
checkpoint-5100/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 84 |
+
checkpoint-5200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 85 |
+
checkpoint-5300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 86 |
+
checkpoint-5400/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 87 |
+
checkpoint-5500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 88 |
+
checkpoint-5600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 89 |
+
checkpoint-5700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 90 |
+
checkpoint-5725/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 91 |
+
checkpoint-600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 92 |
+
checkpoint-700/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 93 |
+
checkpoint-800/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 94 |
+
checkpoint-900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 95 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
CHANGED
|
@@ -1,9 +1,207 @@
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
-
|
| 7 |
-
|
| 8 |
-
-
|
| 9 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model: unsloth/functiongemma-270m-it
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/functiongemma-270m-it
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/functiongemma-270m-it",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 128,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 64,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"down_proj",
|
| 30 |
+
"o_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"up_proj"
|
| 35 |
+
],
|
| 36 |
+
"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a2cf492613544bc73d1dae992745252f8a44cfa4a6bd5389d2ab4849336ed8aa
|
| 3 |
+
size 60785144
|
added_tokens.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<end_of_image>": 262145,
|
| 3 |
+
"<image_soft_token>": 262144
|
| 4 |
+
}
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,282 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- macro format_parameters(properties, required) -%}
|
| 2 |
+
{%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
|
| 3 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 4 |
+
{%- for key, value in properties | dictsort -%}
|
| 5 |
+
{%- if key not in standard_keys -%}
|
| 6 |
+
{%- if ns.found_first %},{% endif -%}
|
| 7 |
+
{%- set ns.found_first = true -%}
|
| 8 |
+
{{- key }}:{description:<escape>{{ value['description'] }}<escape>
|
| 9 |
+
{%- if value['type'] | upper == 'STRING' -%}
|
| 10 |
+
{%- if value['enum'] -%}
|
| 11 |
+
,enum:{{ format_argument(value['enum']) }}
|
| 12 |
+
{%- endif -%}
|
| 13 |
+
{%- elif value['type'] | upper == 'OBJECT' -%}
|
| 14 |
+
,properties:{
|
| 15 |
+
{%- if value['properties'] is defined and value['properties'] is mapping -%}
|
| 16 |
+
{{- format_parameters(value['properties'], value['required'] | default([])) -}}
|
| 17 |
+
{%- elif value is mapping -%}
|
| 18 |
+
{{- format_parameters(value, value['required'] | default([])) -}}
|
| 19 |
+
{%- endif -%}
|
| 20 |
+
}
|
| 21 |
+
{%- if value['required'] -%}
|
| 22 |
+
,required:[
|
| 23 |
+
{%- for item in value['required'] | default([]) -%}
|
| 24 |
+
<escape>{{- item -}}<escape>
|
| 25 |
+
{%- if not loop.last %},{% endif -%}
|
| 26 |
+
{%- endfor -%}
|
| 27 |
+
]
|
| 28 |
+
{%- endif -%}
|
| 29 |
+
{%- elif value['type'] | upper == 'ARRAY' -%}
|
| 30 |
+
{%- if value['items'] is mapping and value['items'] -%}
|
| 31 |
+
,items:{
|
| 32 |
+
{%- set ns_items = namespace(found_first=false) -%}
|
| 33 |
+
{%- for item_key, item_value in value['items'] | dictsort -%}
|
| 34 |
+
{%- if item_value is not none -%}
|
| 35 |
+
{%- if ns_items.found_first %},{% endif -%}
|
| 36 |
+
{%- set ns_items.found_first = true -%}
|
| 37 |
+
{%- if item_key == 'properties' -%}
|
| 38 |
+
properties:{
|
| 39 |
+
{%- if item_value is mapping -%}
|
| 40 |
+
{{- format_parameters(item_value, value['items']['required'] | default([])) -}}
|
| 41 |
+
{%- endif -%}
|
| 42 |
+
}
|
| 43 |
+
{%- elif item_key == 'required' -%}
|
| 44 |
+
required:[
|
| 45 |
+
{%- for req_item in item_value -%}
|
| 46 |
+
<escape>{{- req_item -}}<escape>
|
| 47 |
+
{%- if not loop.last %},{% endif -%}
|
| 48 |
+
{%- endfor -%}
|
| 49 |
+
]
|
| 50 |
+
{%- elif item_key == 'type' -%}
|
| 51 |
+
{%- if item_value is string -%}
|
| 52 |
+
type:{{ format_argument(item_value | upper) }}
|
| 53 |
+
{%- else -%}
|
| 54 |
+
type:{{ format_argument(item_value | map('upper') | list) }}
|
| 55 |
+
{%- endif -%}
|
| 56 |
+
{%- else -%}
|
| 57 |
+
{{ item_key }}:{{ format_argument(item_value) }}
|
| 58 |
+
{%- endif -%}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{%- endfor -%}
|
| 61 |
+
}
|
| 62 |
+
{%- endif -%}
|
| 63 |
+
{%- endif -%}
|
| 64 |
+
,type:<escape>{{ value['type'] | upper }}<escape>}
|
| 65 |
+
{%- endif -%}
|
| 66 |
+
{%- endfor -%}
|
| 67 |
+
{%- endmacro -%}
|
| 68 |
+
{% macro format_function_declaration(tool_data) -%}
|
| 69 |
+
declaration:{{- tool_data['function']['name'] -}}
|
| 70 |
+
{description:<escape>{{- tool_data['function']['description'] -}}<escape>
|
| 71 |
+
{%- set params = tool_data['function']['parameters'] -%}
|
| 72 |
+
{%- if params -%}
|
| 73 |
+
,parameters:{
|
| 74 |
+
{%- if params['properties'] -%}
|
| 75 |
+
properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
|
| 76 |
+
{%- endif -%}
|
| 77 |
+
{%- if params['required'] -%}
|
| 78 |
+
required:[
|
| 79 |
+
{%- for item in params['required'] -%}
|
| 80 |
+
<escape>{{- item -}}<escape>
|
| 81 |
+
{{- ',' if not loop.last -}}
|
| 82 |
+
{%- endfor -%}
|
| 83 |
+
],
|
| 84 |
+
{%- endif -%}
|
| 85 |
+
{%- if params['type'] -%}
|
| 86 |
+
type:<escape>{{- params['type'] | upper -}}<escape>}
|
| 87 |
+
{%- endif -%}
|
| 88 |
+
{%- endif -%}
|
| 89 |
+
}
|
| 90 |
+
{%- endmacro -%}
|
| 91 |
+
{% macro format_argument(argument, escape_keys=True) -%}
|
| 92 |
+
{%- if argument is string -%}
|
| 93 |
+
{{- '<escape>' + argument + '<escape>' -}}
|
| 94 |
+
{%- elif argument is boolean -%}
|
| 95 |
+
{%- if argument -%}
|
| 96 |
+
{{- 'true' -}}
|
| 97 |
+
{%- else -%}
|
| 98 |
+
{{- 'false' -}}
|
| 99 |
+
{%- endif -%}
|
| 100 |
+
{%- elif argument is mapping -%}
|
| 101 |
+
{{- '{' -}}
|
| 102 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 103 |
+
{%- for key, value in argument | dictsort -%}
|
| 104 |
+
{%- if ns.found_first %},{% endif -%}
|
| 105 |
+
{%- set ns.found_first = true -%}
|
| 106 |
+
{%- if escape_keys -%}
|
| 107 |
+
{{- '<escape>' + key + '<escape>' -}}
|
| 108 |
+
{%- else -%}
|
| 109 |
+
{{- key -}}
|
| 110 |
+
{%- endif -%}
|
| 111 |
+
:{{- format_argument(value, escape_keys=escape_keys) -}}
|
| 112 |
+
{%- endfor -%}
|
| 113 |
+
{{- '}' -}}
|
| 114 |
+
{%- elif argument is sequence -%}
|
| 115 |
+
{{- '[' -}}
|
| 116 |
+
{%- for item in argument -%}
|
| 117 |
+
{{- format_argument(item, escape_keys=escape_keys) -}}
|
| 118 |
+
{%- if not loop.last %},{% endif -%}
|
| 119 |
+
{%- endfor -%}
|
| 120 |
+
{{- ']' -}}
|
| 121 |
+
{%- else -%}
|
| 122 |
+
{{- argument -}}
|
| 123 |
+
{%- endif -%}
|
| 124 |
+
{%- endmacro -%}
|
| 125 |
+
{{ bos_token }}
|
| 126 |
+
{%- set ns = namespace(prev_message_type=None) -%}
|
| 127 |
+
{#- Tool Declarations -#}
|
| 128 |
+
{%- set loop_messages = messages -%}
|
| 129 |
+
{%- if tools or messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 130 |
+
{{- '<start_of_turn>developer\n' -}}
|
| 131 |
+
{%- if messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 132 |
+
{%- if messages[0]['content'] is string -%}
|
| 133 |
+
{{- messages[0]['content'] | trim -}}
|
| 134 |
+
{%- elif messages[0]['content'] is sequence -%}
|
| 135 |
+
{%- for item in messages[0]['content'] -%}
|
| 136 |
+
{%- if item['type'] == 'text' -%}
|
| 137 |
+
{{- item['text'] | trim -}}
|
| 138 |
+
{%- endif -%}
|
| 139 |
+
{%- endfor -%}
|
| 140 |
+
{%- endif -%}
|
| 141 |
+
{%- set loop_messages = messages[1:] -%}
|
| 142 |
+
{%- else -%}
|
| 143 |
+
{{- 'You are a model that can do function calling with the following functions' -}}
|
| 144 |
+
{%- set loop_messages = messages -%}
|
| 145 |
+
{%- endif -%}
|
| 146 |
+
{%- if tools -%}
|
| 147 |
+
{%- for tool in tools %}
|
| 148 |
+
{{- '<start_function_declaration>' -}}
|
| 149 |
+
{{- format_function_declaration(tool) | trim }}
|
| 150 |
+
{{- '<end_function_declaration>' -}}
|
| 151 |
+
{%- endfor %}
|
| 152 |
+
{%- endif -%}
|
| 153 |
+
{{- '<end_of_turn>\n' }}
|
| 154 |
+
{%- endif %}
|
| 155 |
+
{#- Loop through messages. -#}
|
| 156 |
+
{%- for message in loop_messages -%}
|
| 157 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 158 |
+
{#- Rename "assistant" to "model". -#}
|
| 159 |
+
{%- set role = "model" -%}
|
| 160 |
+
{%- else -%}
|
| 161 |
+
{%- set role = message['role'] -%}
|
| 162 |
+
{%- endif -%}
|
| 163 |
+
{%- if role != 'tool' -%}
|
| 164 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 165 |
+
{{- '<start_of_turn>' + role + '\n' }}
|
| 166 |
+
{%- endif -%}
|
| 167 |
+
{%- set ns.prev_message_type = None -%}
|
| 168 |
+
{%- if 'content' in message and message['content'] is not none -%}
|
| 169 |
+
{%- if message['content'] is string -%}
|
| 170 |
+
{{ message['content'] | trim }}
|
| 171 |
+
{%- elif message['content'] is sequence -%}
|
| 172 |
+
{%- for item in message['content'] -%}
|
| 173 |
+
{%- if item['type'] == 'image' -%}
|
| 174 |
+
{{ '<start_of_image>' }}
|
| 175 |
+
{%- elif item['type'] == 'text' -%}
|
| 176 |
+
{{ item['text'] | trim }}
|
| 177 |
+
{%- endif -%}
|
| 178 |
+
{%- endfor -%}
|
| 179 |
+
{%- else -%}
|
| 180 |
+
{{ raise_exception("Invalid content type in user/assistant message") }}
|
| 181 |
+
{%- endif -%}
|
| 182 |
+
{%- set ns.prev_message_type = 'content' -%}
|
| 183 |
+
{%- endif -%}
|
| 184 |
+
{%- if 'tool_calls' in message and message['tool_calls'] and message['tool_calls'] is iterable -%}
|
| 185 |
+
{#- Tool Calls -#}
|
| 186 |
+
{%- for tool_call in message['tool_calls'] -%}
|
| 187 |
+
{% set function = tool_call['function'] %}
|
| 188 |
+
{{- '<start_function_call>call:' + function['name'] + '{' -}}
|
| 189 |
+
{%- if 'arguments' in function -%}
|
| 190 |
+
{%- if function['arguments'] is mapping -%}
|
| 191 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 192 |
+
{%- for key, value in function['arguments'] | dictsort -%}
|
| 193 |
+
{%- if ns.found_first %},{% endif -%}
|
| 194 |
+
{%- set ns.found_first = true -%}
|
| 195 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 196 |
+
{%- endfor -%}
|
| 197 |
+
{%- elif function['arguments'] is string -%}
|
| 198 |
+
{# This handles string-JSON, just in case #}
|
| 199 |
+
{{ function['arguments'] }}
|
| 200 |
+
{%- endif %}
|
| 201 |
+
{%- endif -%}
|
| 202 |
+
{{- '}<end_function_call>' -}}
|
| 203 |
+
{%- endfor -%}
|
| 204 |
+
{%- if loop.last -%}
|
| 205 |
+
{{ '<start_function_response>' }}
|
| 206 |
+
{%- endif -%}
|
| 207 |
+
{%- set ns.prev_message_type = 'tool_call' -%}
|
| 208 |
+
{%- endif -%}
|
| 209 |
+
{%- else -%}
|
| 210 |
+
{#- Tool Responses -#}
|
| 211 |
+
{%- if 'content' in message and message['content'] -%}
|
| 212 |
+
{%- if message['content'] is mapping -%}
|
| 213 |
+
{%- if 'name' in message['content'] and 'response' in message['content'] -%}
|
| 214 |
+
{{ '<start_function_response>response:' + message['content']['name'] | trim + '{' }}
|
| 215 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 216 |
+
{%- for key, value in message['content']['response'] | dictsort -%}
|
| 217 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 218 |
+
{%- set response_ns.found_first = true -%}
|
| 219 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 220 |
+
{%- endfor -%}
|
| 221 |
+
{{- '}<end_function_response>' -}}
|
| 222 |
+
{%- elif 'name' in message -%}
|
| 223 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 224 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 225 |
+
{%- for key, value in message['content'] | dictsort -%}
|
| 226 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 227 |
+
{%- set response_ns.found_first = true -%}
|
| 228 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 229 |
+
{%- endfor -%}
|
| 230 |
+
{{- '}<end_function_response>' -}}
|
| 231 |
+
{%- else -%}
|
| 232 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 233 |
+
{%- endif -%}
|
| 234 |
+
{%- elif message['content'] is string -%}
|
| 235 |
+
{%- if 'name' in message -%}
|
| 236 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{value:' + format_argument(message['content'], escape_keys=False) + '}<end_function_response>' }}
|
| 237 |
+
{%- else -%}
|
| 238 |
+
{{ raise_exception("Invalid tool response: 'name' must be provided.") }}
|
| 239 |
+
{%- endif -%}
|
| 240 |
+
{%- elif message['content'] is sequence -%}
|
| 241 |
+
{%- for item in message['content'] -%}
|
| 242 |
+
{%- if item is mapping -%}
|
| 243 |
+
{%- if 'name' in item and 'response' in item -%}
|
| 244 |
+
{{ '<start_function_response>response:' + item['name'] | trim + '{' }}
|
| 245 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 246 |
+
{%- for key, value in item['response'] | dictsort -%}
|
| 247 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 248 |
+
{%- set response_ns.found_first = true -%}
|
| 249 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 250 |
+
{%- endfor -%}
|
| 251 |
+
{{- '}<end_function_response>' -}}
|
| 252 |
+
{%- elif 'name' in message -%}
|
| 253 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 254 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 255 |
+
{%- for key, value in item | dictsort -%}
|
| 256 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 257 |
+
{%- set response_ns.found_first = true -%}
|
| 258 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 259 |
+
{%- endfor -%}
|
| 260 |
+
{{- '}<end_function_response>' -}}
|
| 261 |
+
{%- else -%}
|
| 262 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 263 |
+
{%- endif -%}
|
| 264 |
+
{%- else -%}
|
| 265 |
+
{{ raise_exception("Invalid tool response message: multiple responses must all be mappings") }}
|
| 266 |
+
{%- endif -%}
|
| 267 |
+
{%- endfor -%}
|
| 268 |
+
{%- else -%}
|
| 269 |
+
{{ raise_exception("Invalid content type in tool message: must be mapping, sequence of mappings, or string.") }}
|
| 270 |
+
{%- endif -%}
|
| 271 |
+
{%- endif -%}
|
| 272 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 273 |
+
{%- endif -%}
|
| 274 |
+
{%- if ns.prev_message_type not in ['tool_call', 'tool_response'] -%}
|
| 275 |
+
{{ '<end_of_turn>\n' }}
|
| 276 |
+
{%- endif -%}
|
| 277 |
+
{%- endfor -%}
|
| 278 |
+
{%- if add_generation_prompt -%}
|
| 279 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 280 |
+
{{- '<start_of_turn>model\n' -}}
|
| 281 |
+
{%- endif -%}
|
| 282 |
+
{%- endif -%}
|
checkpoint-100/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/functiongemma-270m-it
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/functiongemma-270m-it
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.1
|
checkpoint-100/adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/functiongemma-270m-it",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 128,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 64,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"down_proj",
|
| 30 |
+
"o_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"up_proj"
|
| 35 |
+
],
|
| 36 |
+
"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
checkpoint-100/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b41ff92fff37b5682d4b5f3367e2231e5fd6183251401b9206874b535cd02de7
|
| 3 |
+
size 60785144
|
checkpoint-100/added_tokens.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<end_of_image>": 262145,
|
| 3 |
+
"<image_soft_token>": 262144
|
| 4 |
+
}
|
checkpoint-100/chat_template.jinja
ADDED
|
@@ -0,0 +1,282 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- macro format_parameters(properties, required) -%}
|
| 2 |
+
{%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
|
| 3 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 4 |
+
{%- for key, value in properties | dictsort -%}
|
| 5 |
+
{%- if key not in standard_keys -%}
|
| 6 |
+
{%- if ns.found_first %},{% endif -%}
|
| 7 |
+
{%- set ns.found_first = true -%}
|
| 8 |
+
{{- key }}:{description:<escape>{{ value['description'] }}<escape>
|
| 9 |
+
{%- if value['type'] | upper == 'STRING' -%}
|
| 10 |
+
{%- if value['enum'] -%}
|
| 11 |
+
,enum:{{ format_argument(value['enum']) }}
|
| 12 |
+
{%- endif -%}
|
| 13 |
+
{%- elif value['type'] | upper == 'OBJECT' -%}
|
| 14 |
+
,properties:{
|
| 15 |
+
{%- if value['properties'] is defined and value['properties'] is mapping -%}
|
| 16 |
+
{{- format_parameters(value['properties'], value['required'] | default([])) -}}
|
| 17 |
+
{%- elif value is mapping -%}
|
| 18 |
+
{{- format_parameters(value, value['required'] | default([])) -}}
|
| 19 |
+
{%- endif -%}
|
| 20 |
+
}
|
| 21 |
+
{%- if value['required'] -%}
|
| 22 |
+
,required:[
|
| 23 |
+
{%- for item in value['required'] | default([]) -%}
|
| 24 |
+
<escape>{{- item -}}<escape>
|
| 25 |
+
{%- if not loop.last %},{% endif -%}
|
| 26 |
+
{%- endfor -%}
|
| 27 |
+
]
|
| 28 |
+
{%- endif -%}
|
| 29 |
+
{%- elif value['type'] | upper == 'ARRAY' -%}
|
| 30 |
+
{%- if value['items'] is mapping and value['items'] -%}
|
| 31 |
+
,items:{
|
| 32 |
+
{%- set ns_items = namespace(found_first=false) -%}
|
| 33 |
+
{%- for item_key, item_value in value['items'] | dictsort -%}
|
| 34 |
+
{%- if item_value is not none -%}
|
| 35 |
+
{%- if ns_items.found_first %},{% endif -%}
|
| 36 |
+
{%- set ns_items.found_first = true -%}
|
| 37 |
+
{%- if item_key == 'properties' -%}
|
| 38 |
+
properties:{
|
| 39 |
+
{%- if item_value is mapping -%}
|
| 40 |
+
{{- format_parameters(item_value, value['items']['required'] | default([])) -}}
|
| 41 |
+
{%- endif -%}
|
| 42 |
+
}
|
| 43 |
+
{%- elif item_key == 'required' -%}
|
| 44 |
+
required:[
|
| 45 |
+
{%- for req_item in item_value -%}
|
| 46 |
+
<escape>{{- req_item -}}<escape>
|
| 47 |
+
{%- if not loop.last %},{% endif -%}
|
| 48 |
+
{%- endfor -%}
|
| 49 |
+
]
|
| 50 |
+
{%- elif item_key == 'type' -%}
|
| 51 |
+
{%- if item_value is string -%}
|
| 52 |
+
type:{{ format_argument(item_value | upper) }}
|
| 53 |
+
{%- else -%}
|
| 54 |
+
type:{{ format_argument(item_value | map('upper') | list) }}
|
| 55 |
+
{%- endif -%}
|
| 56 |
+
{%- else -%}
|
| 57 |
+
{{ item_key }}:{{ format_argument(item_value) }}
|
| 58 |
+
{%- endif -%}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{%- endfor -%}
|
| 61 |
+
}
|
| 62 |
+
{%- endif -%}
|
| 63 |
+
{%- endif -%}
|
| 64 |
+
,type:<escape>{{ value['type'] | upper }}<escape>}
|
| 65 |
+
{%- endif -%}
|
| 66 |
+
{%- endfor -%}
|
| 67 |
+
{%- endmacro -%}
|
| 68 |
+
{% macro format_function_declaration(tool_data) -%}
|
| 69 |
+
declaration:{{- tool_data['function']['name'] -}}
|
| 70 |
+
{description:<escape>{{- tool_data['function']['description'] -}}<escape>
|
| 71 |
+
{%- set params = tool_data['function']['parameters'] -%}
|
| 72 |
+
{%- if params -%}
|
| 73 |
+
,parameters:{
|
| 74 |
+
{%- if params['properties'] -%}
|
| 75 |
+
properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
|
| 76 |
+
{%- endif -%}
|
| 77 |
+
{%- if params['required'] -%}
|
| 78 |
+
required:[
|
| 79 |
+
{%- for item in params['required'] -%}
|
| 80 |
+
<escape>{{- item -}}<escape>
|
| 81 |
+
{{- ',' if not loop.last -}}
|
| 82 |
+
{%- endfor -%}
|
| 83 |
+
],
|
| 84 |
+
{%- endif -%}
|
| 85 |
+
{%- if params['type'] -%}
|
| 86 |
+
type:<escape>{{- params['type'] | upper -}}<escape>}
|
| 87 |
+
{%- endif -%}
|
| 88 |
+
{%- endif -%}
|
| 89 |
+
}
|
| 90 |
+
{%- endmacro -%}
|
| 91 |
+
{% macro format_argument(argument, escape_keys=True) -%}
|
| 92 |
+
{%- if argument is string -%}
|
| 93 |
+
{{- '<escape>' + argument + '<escape>' -}}
|
| 94 |
+
{%- elif argument is boolean -%}
|
| 95 |
+
{%- if argument -%}
|
| 96 |
+
{{- 'true' -}}
|
| 97 |
+
{%- else -%}
|
| 98 |
+
{{- 'false' -}}
|
| 99 |
+
{%- endif -%}
|
| 100 |
+
{%- elif argument is mapping -%}
|
| 101 |
+
{{- '{' -}}
|
| 102 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 103 |
+
{%- for key, value in argument | dictsort -%}
|
| 104 |
+
{%- if ns.found_first %},{% endif -%}
|
| 105 |
+
{%- set ns.found_first = true -%}
|
| 106 |
+
{%- if escape_keys -%}
|
| 107 |
+
{{- '<escape>' + key + '<escape>' -}}
|
| 108 |
+
{%- else -%}
|
| 109 |
+
{{- key -}}
|
| 110 |
+
{%- endif -%}
|
| 111 |
+
:{{- format_argument(value, escape_keys=escape_keys) -}}
|
| 112 |
+
{%- endfor -%}
|
| 113 |
+
{{- '}' -}}
|
| 114 |
+
{%- elif argument is sequence -%}
|
| 115 |
+
{{- '[' -}}
|
| 116 |
+
{%- for item in argument -%}
|
| 117 |
+
{{- format_argument(item, escape_keys=escape_keys) -}}
|
| 118 |
+
{%- if not loop.last %},{% endif -%}
|
| 119 |
+
{%- endfor -%}
|
| 120 |
+
{{- ']' -}}
|
| 121 |
+
{%- else -%}
|
| 122 |
+
{{- argument -}}
|
| 123 |
+
{%- endif -%}
|
| 124 |
+
{%- endmacro -%}
|
| 125 |
+
{{ bos_token }}
|
| 126 |
+
{%- set ns = namespace(prev_message_type=None) -%}
|
| 127 |
+
{#- Tool Declarations -#}
|
| 128 |
+
{%- set loop_messages = messages -%}
|
| 129 |
+
{%- if tools or messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 130 |
+
{{- '<start_of_turn>developer\n' -}}
|
| 131 |
+
{%- if messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 132 |
+
{%- if messages[0]['content'] is string -%}
|
| 133 |
+
{{- messages[0]['content'] | trim -}}
|
| 134 |
+
{%- elif messages[0]['content'] is sequence -%}
|
| 135 |
+
{%- for item in messages[0]['content'] -%}
|
| 136 |
+
{%- if item['type'] == 'text' -%}
|
| 137 |
+
{{- item['text'] | trim -}}
|
| 138 |
+
{%- endif -%}
|
| 139 |
+
{%- endfor -%}
|
| 140 |
+
{%- endif -%}
|
| 141 |
+
{%- set loop_messages = messages[1:] -%}
|
| 142 |
+
{%- else -%}
|
| 143 |
+
{{- 'You are a model that can do function calling with the following functions' -}}
|
| 144 |
+
{%- set loop_messages = messages -%}
|
| 145 |
+
{%- endif -%}
|
| 146 |
+
{%- if tools -%}
|
| 147 |
+
{%- for tool in tools %}
|
| 148 |
+
{{- '<start_function_declaration>' -}}
|
| 149 |
+
{{- format_function_declaration(tool) | trim }}
|
| 150 |
+
{{- '<end_function_declaration>' -}}
|
| 151 |
+
{%- endfor %}
|
| 152 |
+
{%- endif -%}
|
| 153 |
+
{{- '<end_of_turn>\n' }}
|
| 154 |
+
{%- endif %}
|
| 155 |
+
{#- Loop through messages. -#}
|
| 156 |
+
{%- for message in loop_messages -%}
|
| 157 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 158 |
+
{#- Rename "assistant" to "model". -#}
|
| 159 |
+
{%- set role = "model" -%}
|
| 160 |
+
{%- else -%}
|
| 161 |
+
{%- set role = message['role'] -%}
|
| 162 |
+
{%- endif -%}
|
| 163 |
+
{%- if role != 'tool' -%}
|
| 164 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 165 |
+
{{- '<start_of_turn>' + role + '\n' }}
|
| 166 |
+
{%- endif -%}
|
| 167 |
+
{%- set ns.prev_message_type = None -%}
|
| 168 |
+
{%- if 'content' in message and message['content'] is not none -%}
|
| 169 |
+
{%- if message['content'] is string -%}
|
| 170 |
+
{{ message['content'] | trim }}
|
| 171 |
+
{%- elif message['content'] is sequence -%}
|
| 172 |
+
{%- for item in message['content'] -%}
|
| 173 |
+
{%- if item['type'] == 'image' -%}
|
| 174 |
+
{{ '<start_of_image>' }}
|
| 175 |
+
{%- elif item['type'] == 'text' -%}
|
| 176 |
+
{{ item['text'] | trim }}
|
| 177 |
+
{%- endif -%}
|
| 178 |
+
{%- endfor -%}
|
| 179 |
+
{%- else -%}
|
| 180 |
+
{{ raise_exception("Invalid content type in user/assistant message") }}
|
| 181 |
+
{%- endif -%}
|
| 182 |
+
{%- set ns.prev_message_type = 'content' -%}
|
| 183 |
+
{%- endif -%}
|
| 184 |
+
{%- if 'tool_calls' in message and message['tool_calls'] and message['tool_calls'] is iterable -%}
|
| 185 |
+
{#- Tool Calls -#}
|
| 186 |
+
{%- for tool_call in message['tool_calls'] -%}
|
| 187 |
+
{% set function = tool_call['function'] %}
|
| 188 |
+
{{- '<start_function_call>call:' + function['name'] + '{' -}}
|
| 189 |
+
{%- if 'arguments' in function -%}
|
| 190 |
+
{%- if function['arguments'] is mapping -%}
|
| 191 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 192 |
+
{%- for key, value in function['arguments'] | dictsort -%}
|
| 193 |
+
{%- if ns.found_first %},{% endif -%}
|
| 194 |
+
{%- set ns.found_first = true -%}
|
| 195 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 196 |
+
{%- endfor -%}
|
| 197 |
+
{%- elif function['arguments'] is string -%}
|
| 198 |
+
{# This handles string-JSON, just in case #}
|
| 199 |
+
{{ function['arguments'] }}
|
| 200 |
+
{%- endif %}
|
| 201 |
+
{%- endif -%}
|
| 202 |
+
{{- '}<end_function_call>' -}}
|
| 203 |
+
{%- endfor -%}
|
| 204 |
+
{%- if loop.last -%}
|
| 205 |
+
{{ '<start_function_response>' }}
|
| 206 |
+
{%- endif -%}
|
| 207 |
+
{%- set ns.prev_message_type = 'tool_call' -%}
|
| 208 |
+
{%- endif -%}
|
| 209 |
+
{%- else -%}
|
| 210 |
+
{#- Tool Responses -#}
|
| 211 |
+
{%- if 'content' in message and message['content'] -%}
|
| 212 |
+
{%- if message['content'] is mapping -%}
|
| 213 |
+
{%- if 'name' in message['content'] and 'response' in message['content'] -%}
|
| 214 |
+
{{ '<start_function_response>response:' + message['content']['name'] | trim + '{' }}
|
| 215 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 216 |
+
{%- for key, value in message['content']['response'] | dictsort -%}
|
| 217 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 218 |
+
{%- set response_ns.found_first = true -%}
|
| 219 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 220 |
+
{%- endfor -%}
|
| 221 |
+
{{- '}<end_function_response>' -}}
|
| 222 |
+
{%- elif 'name' in message -%}
|
| 223 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 224 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 225 |
+
{%- for key, value in message['content'] | dictsort -%}
|
| 226 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 227 |
+
{%- set response_ns.found_first = true -%}
|
| 228 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 229 |
+
{%- endfor -%}
|
| 230 |
+
{{- '}<end_function_response>' -}}
|
| 231 |
+
{%- else -%}
|
| 232 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 233 |
+
{%- endif -%}
|
| 234 |
+
{%- elif message['content'] is string -%}
|
| 235 |
+
{%- if 'name' in message -%}
|
| 236 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{value:' + format_argument(message['content'], escape_keys=False) + '}<end_function_response>' }}
|
| 237 |
+
{%- else -%}
|
| 238 |
+
{{ raise_exception("Invalid tool response: 'name' must be provided.") }}
|
| 239 |
+
{%- endif -%}
|
| 240 |
+
{%- elif message['content'] is sequence -%}
|
| 241 |
+
{%- for item in message['content'] -%}
|
| 242 |
+
{%- if item is mapping -%}
|
| 243 |
+
{%- if 'name' in item and 'response' in item -%}
|
| 244 |
+
{{ '<start_function_response>response:' + item['name'] | trim + '{' }}
|
| 245 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 246 |
+
{%- for key, value in item['response'] | dictsort -%}
|
| 247 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 248 |
+
{%- set response_ns.found_first = true -%}
|
| 249 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 250 |
+
{%- endfor -%}
|
| 251 |
+
{{- '}<end_function_response>' -}}
|
| 252 |
+
{%- elif 'name' in message -%}
|
| 253 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 254 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 255 |
+
{%- for key, value in item | dictsort -%}
|
| 256 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 257 |
+
{%- set response_ns.found_first = true -%}
|
| 258 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 259 |
+
{%- endfor -%}
|
| 260 |
+
{{- '}<end_function_response>' -}}
|
| 261 |
+
{%- else -%}
|
| 262 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 263 |
+
{%- endif -%}
|
| 264 |
+
{%- else -%}
|
| 265 |
+
{{ raise_exception("Invalid tool response message: multiple responses must all be mappings") }}
|
| 266 |
+
{%- endif -%}
|
| 267 |
+
{%- endfor -%}
|
| 268 |
+
{%- else -%}
|
| 269 |
+
{{ raise_exception("Invalid content type in tool message: must be mapping, sequence of mappings, or string.") }}
|
| 270 |
+
{%- endif -%}
|
| 271 |
+
{%- endif -%}
|
| 272 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 273 |
+
{%- endif -%}
|
| 274 |
+
{%- if ns.prev_message_type not in ['tool_call', 'tool_response'] -%}
|
| 275 |
+
{{ '<end_of_turn>\n' }}
|
| 276 |
+
{%- endif -%}
|
| 277 |
+
{%- endfor -%}
|
| 278 |
+
{%- if add_generation_prompt -%}
|
| 279 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 280 |
+
{{- '<start_of_turn>model\n' -}}
|
| 281 |
+
{%- endif -%}
|
| 282 |
+
{%- endif -%}
|
checkpoint-100/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:356da361c0a6d635b5d9c3aa1b51d9790c3a346c7730a5d0ca962946d04ea8ff
|
| 3 |
+
size 121708939
|
checkpoint-100/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb03eac9b58e52273c3aa5727841719fd6c82afc9062bbaf8eb6f842de779278
|
| 3 |
+
size 14391
|
checkpoint-100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d5862e5e0650ed902623f865842c02c99e7054853606c904f823dfbad3f1915b
|
| 3 |
+
size 1465
|
checkpoint-100/special_tokens_map.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"boi_token": "<start_of_image>",
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"content": "<bos>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"eoi_token": "<end_of_image>",
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"content": "<end_of_turn>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false
|
| 17 |
+
},
|
| 18 |
+
"image_token": "<image_soft_token>",
|
| 19 |
+
"pad_token": {
|
| 20 |
+
"content": "<pad>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"sfr_token": "<start_function_response>",
|
| 27 |
+
"unk_token": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false
|
| 33 |
+
}
|
| 34 |
+
}
|
checkpoint-100/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b6b09a0b4a803ad453063ca4bb49a784540e8120004e2450e025df2b27d41fb2
|
| 3 |
+
size 33384899
|
checkpoint-100/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa009fcbc3589a9904d30d04834094fea4653c2ac6d2de2cd1262d4f7a50ceb3
|
| 3 |
+
size 4689144
|
checkpoint-100/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-100/trainer_state.json
ADDED
|
@@ -0,0 +1,174 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.08737439930100481,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 100,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.00436871996505024,
|
| 14 |
+
"grad_norm": 9.839941024780273,
|
| 15 |
+
"learning_rate": 8e-05,
|
| 16 |
+
"loss": 2.5246,
|
| 17 |
+
"step": 5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.00873743993010048,
|
| 21 |
+
"grad_norm": 13.773455619812012,
|
| 22 |
+
"learning_rate": 0.00018,
|
| 23 |
+
"loss": 1.1343,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.01310615989515072,
|
| 28 |
+
"grad_norm": 5.6580424308776855,
|
| 29 |
+
"learning_rate": 0.0001999997582552296,
|
| 30 |
+
"loss": 0.7712,
|
| 31 |
+
"step": 15
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.01747487986020096,
|
| 35 |
+
"grad_norm": 5.294467926025391,
|
| 36 |
+
"learning_rate": 0.0001999987761691029,
|
| 37 |
+
"loss": 0.73,
|
| 38 |
+
"step": 20
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.021843599825251202,
|
| 42 |
+
"grad_norm": 2.8633503913879395,
|
| 43 |
+
"learning_rate": 0.00019999703863998527,
|
| 44 |
+
"loss": 0.7289,
|
| 45 |
+
"step": 25
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.02621231979030144,
|
| 49 |
+
"grad_norm": 3.2836177349090576,
|
| 50 |
+
"learning_rate": 0.00019999454568100293,
|
| 51 |
+
"loss": 0.4686,
|
| 52 |
+
"step": 30
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.03058103975535168,
|
| 56 |
+
"grad_norm": 4.878258228302002,
|
| 57 |
+
"learning_rate": 0.00019999129731098898,
|
| 58 |
+
"loss": 0.6629,
|
| 59 |
+
"step": 35
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.03494975972040192,
|
| 63 |
+
"grad_norm": 2.899914026260376,
|
| 64 |
+
"learning_rate": 0.00019998729355448326,
|
| 65 |
+
"loss": 0.6038,
|
| 66 |
+
"step": 40
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.039318479685452164,
|
| 70 |
+
"grad_norm": 3.289844274520874,
|
| 71 |
+
"learning_rate": 0.00019998253444173235,
|
| 72 |
+
"loss": 0.4573,
|
| 73 |
+
"step": 45
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.043687199650502405,
|
| 77 |
+
"grad_norm": 2.957254648208618,
|
| 78 |
+
"learning_rate": 0.00019997702000868896,
|
| 79 |
+
"loss": 0.594,
|
| 80 |
+
"step": 50
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.048055919615552646,
|
| 84 |
+
"grad_norm": 3.171276807785034,
|
| 85 |
+
"learning_rate": 0.00019997075029701207,
|
| 86 |
+
"loss": 0.5719,
|
| 87 |
+
"step": 55
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.05242463958060288,
|
| 91 |
+
"grad_norm": 2.55605149269104,
|
| 92 |
+
"learning_rate": 0.0001999637253540663,
|
| 93 |
+
"loss": 0.5971,
|
| 94 |
+
"step": 60
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.05679335954565312,
|
| 98 |
+
"grad_norm": 2.127289295196533,
|
| 99 |
+
"learning_rate": 0.00019995594523292178,
|
| 100 |
+
"loss": 0.5712,
|
| 101 |
+
"step": 65
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.06116207951070336,
|
| 105 |
+
"grad_norm": 3.3928685188293457,
|
| 106 |
+
"learning_rate": 0.00019994740999235359,
|
| 107 |
+
"loss": 0.5712,
|
| 108 |
+
"step": 70
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.0655307994757536,
|
| 112 |
+
"grad_norm": 2.6700279712677,
|
| 113 |
+
"learning_rate": 0.00019993811969684142,
|
| 114 |
+
"loss": 0.427,
|
| 115 |
+
"step": 75
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.06989951944080385,
|
| 119 |
+
"grad_norm": 2.6936633586883545,
|
| 120 |
+
"learning_rate": 0.00019992807441656898,
|
| 121 |
+
"loss": 0.5321,
|
| 122 |
+
"step": 80
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.07426823940585409,
|
| 126 |
+
"grad_norm": 3.9897687435150146,
|
| 127 |
+
"learning_rate": 0.00019991727422742362,
|
| 128 |
+
"loss": 0.6025,
|
| 129 |
+
"step": 85
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.07863695937090433,
|
| 133 |
+
"grad_norm": 2.3496663570404053,
|
| 134 |
+
"learning_rate": 0.00019990571921099553,
|
| 135 |
+
"loss": 0.5975,
|
| 136 |
+
"step": 90
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.08300567933595457,
|
| 140 |
+
"grad_norm": 3.3796467781066895,
|
| 141 |
+
"learning_rate": 0.0001998934094545774,
|
| 142 |
+
"loss": 0.5255,
|
| 143 |
+
"step": 95
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.08737439930100481,
|
| 147 |
+
"grad_norm": 3.1103007793426514,
|
| 148 |
+
"learning_rate": 0.00019988034505116352,
|
| 149 |
+
"loss": 0.4946,
|
| 150 |
+
"step": 100
|
| 151 |
+
}
|
| 152 |
+
],
|
| 153 |
+
"logging_steps": 5,
|
| 154 |
+
"max_steps": 5725,
|
| 155 |
+
"num_input_tokens_seen": 0,
|
| 156 |
+
"num_train_epochs": 5,
|
| 157 |
+
"save_steps": 100,
|
| 158 |
+
"stateful_callbacks": {
|
| 159 |
+
"TrainerControl": {
|
| 160 |
+
"args": {
|
| 161 |
+
"should_epoch_stop": false,
|
| 162 |
+
"should_evaluate": false,
|
| 163 |
+
"should_log": false,
|
| 164 |
+
"should_save": true,
|
| 165 |
+
"should_training_stop": false
|
| 166 |
+
},
|
| 167 |
+
"attributes": {}
|
| 168 |
+
}
|
| 169 |
+
},
|
| 170 |
+
"total_flos": 48194282348544.0,
|
| 171 |
+
"train_batch_size": 4,
|
| 172 |
+
"trial_name": null,
|
| 173 |
+
"trial_params": null
|
| 174 |
+
}
|
checkpoint-100/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:629a35960f565450f5c9e65334fb9c14eb136182b8af4bc22c885bdde32de5f3
|
| 3 |
+
size 5777
|
checkpoint-1000/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/functiongemma-270m-it
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/functiongemma-270m-it
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.1
|
checkpoint-1000/adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/functiongemma-270m-it",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 128,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 64,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"down_proj",
|
| 30 |
+
"o_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"up_proj"
|
| 35 |
+
],
|
| 36 |
+
"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
checkpoint-1000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:133ec76379027ec222f56f4cc1b04ae3342877261ab6c165c6b4fd334e8022bb
|
| 3 |
+
size 60785144
|
checkpoint-1000/added_tokens.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<end_of_image>": 262145,
|
| 3 |
+
"<image_soft_token>": 262144
|
| 4 |
+
}
|
checkpoint-1000/chat_template.jinja
ADDED
|
@@ -0,0 +1,282 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- macro format_parameters(properties, required) -%}
|
| 2 |
+
{%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
|
| 3 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 4 |
+
{%- for key, value in properties | dictsort -%}
|
| 5 |
+
{%- if key not in standard_keys -%}
|
| 6 |
+
{%- if ns.found_first %},{% endif -%}
|
| 7 |
+
{%- set ns.found_first = true -%}
|
| 8 |
+
{{- key }}:{description:<escape>{{ value['description'] }}<escape>
|
| 9 |
+
{%- if value['type'] | upper == 'STRING' -%}
|
| 10 |
+
{%- if value['enum'] -%}
|
| 11 |
+
,enum:{{ format_argument(value['enum']) }}
|
| 12 |
+
{%- endif -%}
|
| 13 |
+
{%- elif value['type'] | upper == 'OBJECT' -%}
|
| 14 |
+
,properties:{
|
| 15 |
+
{%- if value['properties'] is defined and value['properties'] is mapping -%}
|
| 16 |
+
{{- format_parameters(value['properties'], value['required'] | default([])) -}}
|
| 17 |
+
{%- elif value is mapping -%}
|
| 18 |
+
{{- format_parameters(value, value['required'] | default([])) -}}
|
| 19 |
+
{%- endif -%}
|
| 20 |
+
}
|
| 21 |
+
{%- if value['required'] -%}
|
| 22 |
+
,required:[
|
| 23 |
+
{%- for item in value['required'] | default([]) -%}
|
| 24 |
+
<escape>{{- item -}}<escape>
|
| 25 |
+
{%- if not loop.last %},{% endif -%}
|
| 26 |
+
{%- endfor -%}
|
| 27 |
+
]
|
| 28 |
+
{%- endif -%}
|
| 29 |
+
{%- elif value['type'] | upper == 'ARRAY' -%}
|
| 30 |
+
{%- if value['items'] is mapping and value['items'] -%}
|
| 31 |
+
,items:{
|
| 32 |
+
{%- set ns_items = namespace(found_first=false) -%}
|
| 33 |
+
{%- for item_key, item_value in value['items'] | dictsort -%}
|
| 34 |
+
{%- if item_value is not none -%}
|
| 35 |
+
{%- if ns_items.found_first %},{% endif -%}
|
| 36 |
+
{%- set ns_items.found_first = true -%}
|
| 37 |
+
{%- if item_key == 'properties' -%}
|
| 38 |
+
properties:{
|
| 39 |
+
{%- if item_value is mapping -%}
|
| 40 |
+
{{- format_parameters(item_value, value['items']['required'] | default([])) -}}
|
| 41 |
+
{%- endif -%}
|
| 42 |
+
}
|
| 43 |
+
{%- elif item_key == 'required' -%}
|
| 44 |
+
required:[
|
| 45 |
+
{%- for req_item in item_value -%}
|
| 46 |
+
<escape>{{- req_item -}}<escape>
|
| 47 |
+
{%- if not loop.last %},{% endif -%}
|
| 48 |
+
{%- endfor -%}
|
| 49 |
+
]
|
| 50 |
+
{%- elif item_key == 'type' -%}
|
| 51 |
+
{%- if item_value is string -%}
|
| 52 |
+
type:{{ format_argument(item_value | upper) }}
|
| 53 |
+
{%- else -%}
|
| 54 |
+
type:{{ format_argument(item_value | map('upper') | list) }}
|
| 55 |
+
{%- endif -%}
|
| 56 |
+
{%- else -%}
|
| 57 |
+
{{ item_key }}:{{ format_argument(item_value) }}
|
| 58 |
+
{%- endif -%}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{%- endfor -%}
|
| 61 |
+
}
|
| 62 |
+
{%- endif -%}
|
| 63 |
+
{%- endif -%}
|
| 64 |
+
,type:<escape>{{ value['type'] | upper }}<escape>}
|
| 65 |
+
{%- endif -%}
|
| 66 |
+
{%- endfor -%}
|
| 67 |
+
{%- endmacro -%}
|
| 68 |
+
{% macro format_function_declaration(tool_data) -%}
|
| 69 |
+
declaration:{{- tool_data['function']['name'] -}}
|
| 70 |
+
{description:<escape>{{- tool_data['function']['description'] -}}<escape>
|
| 71 |
+
{%- set params = tool_data['function']['parameters'] -%}
|
| 72 |
+
{%- if params -%}
|
| 73 |
+
,parameters:{
|
| 74 |
+
{%- if params['properties'] -%}
|
| 75 |
+
properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
|
| 76 |
+
{%- endif -%}
|
| 77 |
+
{%- if params['required'] -%}
|
| 78 |
+
required:[
|
| 79 |
+
{%- for item in params['required'] -%}
|
| 80 |
+
<escape>{{- item -}}<escape>
|
| 81 |
+
{{- ',' if not loop.last -}}
|
| 82 |
+
{%- endfor -%}
|
| 83 |
+
],
|
| 84 |
+
{%- endif -%}
|
| 85 |
+
{%- if params['type'] -%}
|
| 86 |
+
type:<escape>{{- params['type'] | upper -}}<escape>}
|
| 87 |
+
{%- endif -%}
|
| 88 |
+
{%- endif -%}
|
| 89 |
+
}
|
| 90 |
+
{%- endmacro -%}
|
| 91 |
+
{% macro format_argument(argument, escape_keys=True) -%}
|
| 92 |
+
{%- if argument is string -%}
|
| 93 |
+
{{- '<escape>' + argument + '<escape>' -}}
|
| 94 |
+
{%- elif argument is boolean -%}
|
| 95 |
+
{%- if argument -%}
|
| 96 |
+
{{- 'true' -}}
|
| 97 |
+
{%- else -%}
|
| 98 |
+
{{- 'false' -}}
|
| 99 |
+
{%- endif -%}
|
| 100 |
+
{%- elif argument is mapping -%}
|
| 101 |
+
{{- '{' -}}
|
| 102 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 103 |
+
{%- for key, value in argument | dictsort -%}
|
| 104 |
+
{%- if ns.found_first %},{% endif -%}
|
| 105 |
+
{%- set ns.found_first = true -%}
|
| 106 |
+
{%- if escape_keys -%}
|
| 107 |
+
{{- '<escape>' + key + '<escape>' -}}
|
| 108 |
+
{%- else -%}
|
| 109 |
+
{{- key -}}
|
| 110 |
+
{%- endif -%}
|
| 111 |
+
:{{- format_argument(value, escape_keys=escape_keys) -}}
|
| 112 |
+
{%- endfor -%}
|
| 113 |
+
{{- '}' -}}
|
| 114 |
+
{%- elif argument is sequence -%}
|
| 115 |
+
{{- '[' -}}
|
| 116 |
+
{%- for item in argument -%}
|
| 117 |
+
{{- format_argument(item, escape_keys=escape_keys) -}}
|
| 118 |
+
{%- if not loop.last %},{% endif -%}
|
| 119 |
+
{%- endfor -%}
|
| 120 |
+
{{- ']' -}}
|
| 121 |
+
{%- else -%}
|
| 122 |
+
{{- argument -}}
|
| 123 |
+
{%- endif -%}
|
| 124 |
+
{%- endmacro -%}
|
| 125 |
+
{{ bos_token }}
|
| 126 |
+
{%- set ns = namespace(prev_message_type=None) -%}
|
| 127 |
+
{#- Tool Declarations -#}
|
| 128 |
+
{%- set loop_messages = messages -%}
|
| 129 |
+
{%- if tools or messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 130 |
+
{{- '<start_of_turn>developer\n' -}}
|
| 131 |
+
{%- if messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 132 |
+
{%- if messages[0]['content'] is string -%}
|
| 133 |
+
{{- messages[0]['content'] | trim -}}
|
| 134 |
+
{%- elif messages[0]['content'] is sequence -%}
|
| 135 |
+
{%- for item in messages[0]['content'] -%}
|
| 136 |
+
{%- if item['type'] == 'text' -%}
|
| 137 |
+
{{- item['text'] | trim -}}
|
| 138 |
+
{%- endif -%}
|
| 139 |
+
{%- endfor -%}
|
| 140 |
+
{%- endif -%}
|
| 141 |
+
{%- set loop_messages = messages[1:] -%}
|
| 142 |
+
{%- else -%}
|
| 143 |
+
{{- 'You are a model that can do function calling with the following functions' -}}
|
| 144 |
+
{%- set loop_messages = messages -%}
|
| 145 |
+
{%- endif -%}
|
| 146 |
+
{%- if tools -%}
|
| 147 |
+
{%- for tool in tools %}
|
| 148 |
+
{{- '<start_function_declaration>' -}}
|
| 149 |
+
{{- format_function_declaration(tool) | trim }}
|
| 150 |
+
{{- '<end_function_declaration>' -}}
|
| 151 |
+
{%- endfor %}
|
| 152 |
+
{%- endif -%}
|
| 153 |
+
{{- '<end_of_turn>\n' }}
|
| 154 |
+
{%- endif %}
|
| 155 |
+
{#- Loop through messages. -#}
|
| 156 |
+
{%- for message in loop_messages -%}
|
| 157 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 158 |
+
{#- Rename "assistant" to "model". -#}
|
| 159 |
+
{%- set role = "model" -%}
|
| 160 |
+
{%- else -%}
|
| 161 |
+
{%- set role = message['role'] -%}
|
| 162 |
+
{%- endif -%}
|
| 163 |
+
{%- if role != 'tool' -%}
|
| 164 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 165 |
+
{{- '<start_of_turn>' + role + '\n' }}
|
| 166 |
+
{%- endif -%}
|
| 167 |
+
{%- set ns.prev_message_type = None -%}
|
| 168 |
+
{%- if 'content' in message and message['content'] is not none -%}
|
| 169 |
+
{%- if message['content'] is string -%}
|
| 170 |
+
{{ message['content'] | trim }}
|
| 171 |
+
{%- elif message['content'] is sequence -%}
|
| 172 |
+
{%- for item in message['content'] -%}
|
| 173 |
+
{%- if item['type'] == 'image' -%}
|
| 174 |
+
{{ '<start_of_image>' }}
|
| 175 |
+
{%- elif item['type'] == 'text' -%}
|
| 176 |
+
{{ item['text'] | trim }}
|
| 177 |
+
{%- endif -%}
|
| 178 |
+
{%- endfor -%}
|
| 179 |
+
{%- else -%}
|
| 180 |
+
{{ raise_exception("Invalid content type in user/assistant message") }}
|
| 181 |
+
{%- endif -%}
|
| 182 |
+
{%- set ns.prev_message_type = 'content' -%}
|
| 183 |
+
{%- endif -%}
|
| 184 |
+
{%- if 'tool_calls' in message and message['tool_calls'] and message['tool_calls'] is iterable -%}
|
| 185 |
+
{#- Tool Calls -#}
|
| 186 |
+
{%- for tool_call in message['tool_calls'] -%}
|
| 187 |
+
{% set function = tool_call['function'] %}
|
| 188 |
+
{{- '<start_function_call>call:' + function['name'] + '{' -}}
|
| 189 |
+
{%- if 'arguments' in function -%}
|
| 190 |
+
{%- if function['arguments'] is mapping -%}
|
| 191 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 192 |
+
{%- for key, value in function['arguments'] | dictsort -%}
|
| 193 |
+
{%- if ns.found_first %},{% endif -%}
|
| 194 |
+
{%- set ns.found_first = true -%}
|
| 195 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 196 |
+
{%- endfor -%}
|
| 197 |
+
{%- elif function['arguments'] is string -%}
|
| 198 |
+
{# This handles string-JSON, just in case #}
|
| 199 |
+
{{ function['arguments'] }}
|
| 200 |
+
{%- endif %}
|
| 201 |
+
{%- endif -%}
|
| 202 |
+
{{- '}<end_function_call>' -}}
|
| 203 |
+
{%- endfor -%}
|
| 204 |
+
{%- if loop.last -%}
|
| 205 |
+
{{ '<start_function_response>' }}
|
| 206 |
+
{%- endif -%}
|
| 207 |
+
{%- set ns.prev_message_type = 'tool_call' -%}
|
| 208 |
+
{%- endif -%}
|
| 209 |
+
{%- else -%}
|
| 210 |
+
{#- Tool Responses -#}
|
| 211 |
+
{%- if 'content' in message and message['content'] -%}
|
| 212 |
+
{%- if message['content'] is mapping -%}
|
| 213 |
+
{%- if 'name' in message['content'] and 'response' in message['content'] -%}
|
| 214 |
+
{{ '<start_function_response>response:' + message['content']['name'] | trim + '{' }}
|
| 215 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 216 |
+
{%- for key, value in message['content']['response'] | dictsort -%}
|
| 217 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 218 |
+
{%- set response_ns.found_first = true -%}
|
| 219 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 220 |
+
{%- endfor -%}
|
| 221 |
+
{{- '}<end_function_response>' -}}
|
| 222 |
+
{%- elif 'name' in message -%}
|
| 223 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 224 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 225 |
+
{%- for key, value in message['content'] | dictsort -%}
|
| 226 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 227 |
+
{%- set response_ns.found_first = true -%}
|
| 228 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 229 |
+
{%- endfor -%}
|
| 230 |
+
{{- '}<end_function_response>' -}}
|
| 231 |
+
{%- else -%}
|
| 232 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 233 |
+
{%- endif -%}
|
| 234 |
+
{%- elif message['content'] is string -%}
|
| 235 |
+
{%- if 'name' in message -%}
|
| 236 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{value:' + format_argument(message['content'], escape_keys=False) + '}<end_function_response>' }}
|
| 237 |
+
{%- else -%}
|
| 238 |
+
{{ raise_exception("Invalid tool response: 'name' must be provided.") }}
|
| 239 |
+
{%- endif -%}
|
| 240 |
+
{%- elif message['content'] is sequence -%}
|
| 241 |
+
{%- for item in message['content'] -%}
|
| 242 |
+
{%- if item is mapping -%}
|
| 243 |
+
{%- if 'name' in item and 'response' in item -%}
|
| 244 |
+
{{ '<start_function_response>response:' + item['name'] | trim + '{' }}
|
| 245 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 246 |
+
{%- for key, value in item['response'] | dictsort -%}
|
| 247 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 248 |
+
{%- set response_ns.found_first = true -%}
|
| 249 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 250 |
+
{%- endfor -%}
|
| 251 |
+
{{- '}<end_function_response>' -}}
|
| 252 |
+
{%- elif 'name' in message -%}
|
| 253 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 254 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 255 |
+
{%- for key, value in item | dictsort -%}
|
| 256 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 257 |
+
{%- set response_ns.found_first = true -%}
|
| 258 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 259 |
+
{%- endfor -%}
|
| 260 |
+
{{- '}<end_function_response>' -}}
|
| 261 |
+
{%- else -%}
|
| 262 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 263 |
+
{%- endif -%}
|
| 264 |
+
{%- else -%}
|
| 265 |
+
{{ raise_exception("Invalid tool response message: multiple responses must all be mappings") }}
|
| 266 |
+
{%- endif -%}
|
| 267 |
+
{%- endfor -%}
|
| 268 |
+
{%- else -%}
|
| 269 |
+
{{ raise_exception("Invalid content type in tool message: must be mapping, sequence of mappings, or string.") }}
|
| 270 |
+
{%- endif -%}
|
| 271 |
+
{%- endif -%}
|
| 272 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 273 |
+
{%- endif -%}
|
| 274 |
+
{%- if ns.prev_message_type not in ['tool_call', 'tool_response'] -%}
|
| 275 |
+
{{ '<end_of_turn>\n' }}
|
| 276 |
+
{%- endif -%}
|
| 277 |
+
{%- endfor -%}
|
| 278 |
+
{%- if add_generation_prompt -%}
|
| 279 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 280 |
+
{{- '<start_of_turn>model\n' -}}
|
| 281 |
+
{%- endif -%}
|
| 282 |
+
{%- endif -%}
|
checkpoint-1000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bc305b4ad5727d63269f4d0392a3c827627bff7f82346016ac21b101c20d0e6f
|
| 3 |
+
size 121708939
|
checkpoint-1000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb03eac9b58e52273c3aa5727841719fd6c82afc9062bbaf8eb6f842de779278
|
| 3 |
+
size 14391
|
checkpoint-1000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:67d07d0c8b6dccd1d2b3163f43a15635d0989081116d1ae61ad5b1d2af1ac480
|
| 3 |
+
size 1465
|
checkpoint-1000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"boi_token": "<start_of_image>",
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"content": "<bos>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"eoi_token": "<end_of_image>",
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"content": "<end_of_turn>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false
|
| 17 |
+
},
|
| 18 |
+
"image_token": "<image_soft_token>",
|
| 19 |
+
"pad_token": {
|
| 20 |
+
"content": "<pad>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"sfr_token": "<start_function_response>",
|
| 27 |
+
"unk_token": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false
|
| 33 |
+
}
|
| 34 |
+
}
|
checkpoint-1000/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b6b09a0b4a803ad453063ca4bb49a784540e8120004e2450e025df2b27d41fb2
|
| 3 |
+
size 33384899
|
checkpoint-1000/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa009fcbc3589a9904d30d04834094fea4653c2ac6d2de2cd1262d4f7a50ceb3
|
| 3 |
+
size 4689144
|
checkpoint-1000/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1000/trainer_state.json
ADDED
|
@@ -0,0 +1,1434 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.873743993010048,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1000,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.00436871996505024,
|
| 14 |
+
"grad_norm": 9.839941024780273,
|
| 15 |
+
"learning_rate": 8e-05,
|
| 16 |
+
"loss": 2.5246,
|
| 17 |
+
"step": 5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.00873743993010048,
|
| 21 |
+
"grad_norm": 13.773455619812012,
|
| 22 |
+
"learning_rate": 0.00018,
|
| 23 |
+
"loss": 1.1343,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.01310615989515072,
|
| 28 |
+
"grad_norm": 5.6580424308776855,
|
| 29 |
+
"learning_rate": 0.0001999997582552296,
|
| 30 |
+
"loss": 0.7712,
|
| 31 |
+
"step": 15
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.01747487986020096,
|
| 35 |
+
"grad_norm": 5.294467926025391,
|
| 36 |
+
"learning_rate": 0.0001999987761691029,
|
| 37 |
+
"loss": 0.73,
|
| 38 |
+
"step": 20
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.021843599825251202,
|
| 42 |
+
"grad_norm": 2.8633503913879395,
|
| 43 |
+
"learning_rate": 0.00019999703863998527,
|
| 44 |
+
"loss": 0.7289,
|
| 45 |
+
"step": 25
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.02621231979030144,
|
| 49 |
+
"grad_norm": 3.2836177349090576,
|
| 50 |
+
"learning_rate": 0.00019999454568100293,
|
| 51 |
+
"loss": 0.4686,
|
| 52 |
+
"step": 30
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.03058103975535168,
|
| 56 |
+
"grad_norm": 4.878258228302002,
|
| 57 |
+
"learning_rate": 0.00019999129731098898,
|
| 58 |
+
"loss": 0.6629,
|
| 59 |
+
"step": 35
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.03494975972040192,
|
| 63 |
+
"grad_norm": 2.899914026260376,
|
| 64 |
+
"learning_rate": 0.00019998729355448326,
|
| 65 |
+
"loss": 0.6038,
|
| 66 |
+
"step": 40
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.039318479685452164,
|
| 70 |
+
"grad_norm": 3.289844274520874,
|
| 71 |
+
"learning_rate": 0.00019998253444173235,
|
| 72 |
+
"loss": 0.4573,
|
| 73 |
+
"step": 45
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.043687199650502405,
|
| 77 |
+
"grad_norm": 2.957254648208618,
|
| 78 |
+
"learning_rate": 0.00019997702000868896,
|
| 79 |
+
"loss": 0.594,
|
| 80 |
+
"step": 50
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.048055919615552646,
|
| 84 |
+
"grad_norm": 3.171276807785034,
|
| 85 |
+
"learning_rate": 0.00019997075029701207,
|
| 86 |
+
"loss": 0.5719,
|
| 87 |
+
"step": 55
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.05242463958060288,
|
| 91 |
+
"grad_norm": 2.55605149269104,
|
| 92 |
+
"learning_rate": 0.0001999637253540663,
|
| 93 |
+
"loss": 0.5971,
|
| 94 |
+
"step": 60
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.05679335954565312,
|
| 98 |
+
"grad_norm": 2.127289295196533,
|
| 99 |
+
"learning_rate": 0.00019995594523292178,
|
| 100 |
+
"loss": 0.5712,
|
| 101 |
+
"step": 65
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.06116207951070336,
|
| 105 |
+
"grad_norm": 3.3928685188293457,
|
| 106 |
+
"learning_rate": 0.00019994740999235359,
|
| 107 |
+
"loss": 0.5712,
|
| 108 |
+
"step": 70
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.0655307994757536,
|
| 112 |
+
"grad_norm": 2.6700279712677,
|
| 113 |
+
"learning_rate": 0.00019993811969684142,
|
| 114 |
+
"loss": 0.427,
|
| 115 |
+
"step": 75
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.06989951944080385,
|
| 119 |
+
"grad_norm": 2.6936633586883545,
|
| 120 |
+
"learning_rate": 0.00019992807441656898,
|
| 121 |
+
"loss": 0.5321,
|
| 122 |
+
"step": 80
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.07426823940585409,
|
| 126 |
+
"grad_norm": 3.9897687435150146,
|
| 127 |
+
"learning_rate": 0.00019991727422742362,
|
| 128 |
+
"loss": 0.6025,
|
| 129 |
+
"step": 85
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.07863695937090433,
|
| 133 |
+
"grad_norm": 2.3496663570404053,
|
| 134 |
+
"learning_rate": 0.00019990571921099553,
|
| 135 |
+
"loss": 0.5975,
|
| 136 |
+
"step": 90
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.08300567933595457,
|
| 140 |
+
"grad_norm": 3.3796467781066895,
|
| 141 |
+
"learning_rate": 0.0001998934094545774,
|
| 142 |
+
"loss": 0.5255,
|
| 143 |
+
"step": 95
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.08737439930100481,
|
| 147 |
+
"grad_norm": 3.1103007793426514,
|
| 148 |
+
"learning_rate": 0.00019988034505116352,
|
| 149 |
+
"loss": 0.4946,
|
| 150 |
+
"step": 100
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.09174311926605505,
|
| 154 |
+
"grad_norm": 2.002304792404175,
|
| 155 |
+
"learning_rate": 0.00019986652609944926,
|
| 156 |
+
"loss": 0.425,
|
| 157 |
+
"step": 105
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.09611183923110529,
|
| 161 |
+
"grad_norm": 1.7572168111801147,
|
| 162 |
+
"learning_rate": 0.00019985195270383018,
|
| 163 |
+
"loss": 0.6073,
|
| 164 |
+
"step": 110
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.10048055919615553,
|
| 168 |
+
"grad_norm": 2.745215654373169,
|
| 169 |
+
"learning_rate": 0.00019983662497440133,
|
| 170 |
+
"loss": 0.586,
|
| 171 |
+
"step": 115
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.10484927916120576,
|
| 175 |
+
"grad_norm": 1.8170915842056274,
|
| 176 |
+
"learning_rate": 0.0001998205430269564,
|
| 177 |
+
"loss": 0.5255,
|
| 178 |
+
"step": 120
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.109217999126256,
|
| 182 |
+
"grad_norm": 1.4944056272506714,
|
| 183 |
+
"learning_rate": 0.00019980370698298677,
|
| 184 |
+
"loss": 0.4219,
|
| 185 |
+
"step": 125
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.11358671909130624,
|
| 189 |
+
"grad_norm": 1.6616989374160767,
|
| 190 |
+
"learning_rate": 0.00019978611696968074,
|
| 191 |
+
"loss": 0.4231,
|
| 192 |
+
"step": 130
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.11795543905635648,
|
| 196 |
+
"grad_norm": 2.0523645877838135,
|
| 197 |
+
"learning_rate": 0.00019976777311992247,
|
| 198 |
+
"loss": 0.5298,
|
| 199 |
+
"step": 135
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.12232415902140673,
|
| 203 |
+
"grad_norm": 2.065765619277954,
|
| 204 |
+
"learning_rate": 0.00019974867557229098,
|
| 205 |
+
"loss": 0.5228,
|
| 206 |
+
"step": 140
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.12669287898645698,
|
| 210 |
+
"grad_norm": 1.7283438444137573,
|
| 211 |
+
"learning_rate": 0.00019972882447105912,
|
| 212 |
+
"loss": 0.3452,
|
| 213 |
+
"step": 145
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.1310615989515072,
|
| 217 |
+
"grad_norm": 2.655750274658203,
|
| 218 |
+
"learning_rate": 0.00019970821996619244,
|
| 219 |
+
"loss": 0.508,
|
| 220 |
+
"step": 150
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.13543031891655744,
|
| 224 |
+
"grad_norm": 2.67799973487854,
|
| 225 |
+
"learning_rate": 0.0001996868622133482,
|
| 226 |
+
"loss": 0.4359,
|
| 227 |
+
"step": 155
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.1397990388816077,
|
| 231 |
+
"grad_norm": 1.6298809051513672,
|
| 232 |
+
"learning_rate": 0.00019966475137387396,
|
| 233 |
+
"loss": 0.5447,
|
| 234 |
+
"step": 160
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.14416775884665792,
|
| 238 |
+
"grad_norm": 1.4772286415100098,
|
| 239 |
+
"learning_rate": 0.00019964188761480657,
|
| 240 |
+
"loss": 0.4105,
|
| 241 |
+
"step": 165
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.14853647881170817,
|
| 245 |
+
"grad_norm": 2.2986271381378174,
|
| 246 |
+
"learning_rate": 0.00019961827110887083,
|
| 247 |
+
"loss": 0.603,
|
| 248 |
+
"step": 170
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.1529051987767584,
|
| 252 |
+
"grad_norm": 2.8261911869049072,
|
| 253 |
+
"learning_rate": 0.00019959390203447817,
|
| 254 |
+
"loss": 0.4649,
|
| 255 |
+
"step": 175
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.15727391874180865,
|
| 259 |
+
"grad_norm": 1.7771011590957642,
|
| 260 |
+
"learning_rate": 0.00019956878057572524,
|
| 261 |
+
"loss": 0.4394,
|
| 262 |
+
"step": 180
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.16164263870685888,
|
| 266 |
+
"grad_norm": 1.7315421104431152,
|
| 267 |
+
"learning_rate": 0.00019954290692239274,
|
| 268 |
+
"loss": 0.5289,
|
| 269 |
+
"step": 185
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.16601135867190914,
|
| 273 |
+
"grad_norm": 1.6124423742294312,
|
| 274 |
+
"learning_rate": 0.00019951628126994373,
|
| 275 |
+
"loss": 0.4173,
|
| 276 |
+
"step": 190
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.17038007863695936,
|
| 280 |
+
"grad_norm": 1.792577862739563,
|
| 281 |
+
"learning_rate": 0.00019948890381952232,
|
| 282 |
+
"loss": 0.4331,
|
| 283 |
+
"step": 195
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.17474879860200962,
|
| 287 |
+
"grad_norm": 1.9038774967193604,
|
| 288 |
+
"learning_rate": 0.000199460774777952,
|
| 289 |
+
"loss": 0.4247,
|
| 290 |
+
"step": 200
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.17911751856705985,
|
| 294 |
+
"grad_norm": 2.457122802734375,
|
| 295 |
+
"learning_rate": 0.00019943189435773432,
|
| 296 |
+
"loss": 0.4519,
|
| 297 |
+
"step": 205
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.1834862385321101,
|
| 301 |
+
"grad_norm": 1.97683584690094,
|
| 302 |
+
"learning_rate": 0.00019940226277704706,
|
| 303 |
+
"loss": 0.4761,
|
| 304 |
+
"step": 210
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.18785495849716033,
|
| 308 |
+
"grad_norm": 2.1646862030029297,
|
| 309 |
+
"learning_rate": 0.0001993718802597426,
|
| 310 |
+
"loss": 0.5294,
|
| 311 |
+
"step": 215
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.19222367846221058,
|
| 315 |
+
"grad_norm": 1.565412998199463,
|
| 316 |
+
"learning_rate": 0.00019934074703534637,
|
| 317 |
+
"loss": 0.3999,
|
| 318 |
+
"step": 220
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.1965923984272608,
|
| 322 |
+
"grad_norm": 2.4315876960754395,
|
| 323 |
+
"learning_rate": 0.00019930886333905504,
|
| 324 |
+
"loss": 0.378,
|
| 325 |
+
"step": 225
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.20096111839231107,
|
| 329 |
+
"grad_norm": 2.7567529678344727,
|
| 330 |
+
"learning_rate": 0.00019927622941173467,
|
| 331 |
+
"loss": 0.5075,
|
| 332 |
+
"step": 230
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.2053298383573613,
|
| 336 |
+
"grad_norm": 1.8640387058258057,
|
| 337 |
+
"learning_rate": 0.00019924284549991902,
|
| 338 |
+
"loss": 0.4749,
|
| 339 |
+
"step": 235
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.20969855832241152,
|
| 343 |
+
"grad_norm": 2.090924024581909,
|
| 344 |
+
"learning_rate": 0.00019920871185580757,
|
| 345 |
+
"loss": 0.4353,
|
| 346 |
+
"step": 240
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.21406727828746178,
|
| 350 |
+
"grad_norm": 1.9691081047058105,
|
| 351 |
+
"learning_rate": 0.00019917382873726376,
|
| 352 |
+
"loss": 0.4051,
|
| 353 |
+
"step": 245
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.218435998252512,
|
| 357 |
+
"grad_norm": 1.8130213022232056,
|
| 358 |
+
"learning_rate": 0.0001991381964078128,
|
| 359 |
+
"loss": 0.526,
|
| 360 |
+
"step": 250
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.22280471821756226,
|
| 364 |
+
"grad_norm": 2.078805923461914,
|
| 365 |
+
"learning_rate": 0.00019910181513664,
|
| 366 |
+
"loss": 0.5654,
|
| 367 |
+
"step": 255
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.22717343818261249,
|
| 371 |
+
"grad_norm": 2.0686287879943848,
|
| 372 |
+
"learning_rate": 0.0001990646851985884,
|
| 373 |
+
"loss": 0.43,
|
| 374 |
+
"step": 260
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.23154215814766274,
|
| 378 |
+
"grad_norm": 1.475821614265442,
|
| 379 |
+
"learning_rate": 0.00019902680687415705,
|
| 380 |
+
"loss": 0.355,
|
| 381 |
+
"step": 265
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.23591087811271297,
|
| 385 |
+
"grad_norm": 1.901236891746521,
|
| 386 |
+
"learning_rate": 0.0001989881804494985,
|
| 387 |
+
"loss": 0.4522,
|
| 388 |
+
"step": 270
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.24027959807776322,
|
| 392 |
+
"grad_norm": 1.2583553791046143,
|
| 393 |
+
"learning_rate": 0.00019894880621641704,
|
| 394 |
+
"loss": 0.3869,
|
| 395 |
+
"step": 275
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.24464831804281345,
|
| 399 |
+
"grad_norm": 1.712336540222168,
|
| 400 |
+
"learning_rate": 0.00019890868447236613,
|
| 401 |
+
"loss": 0.454,
|
| 402 |
+
"step": 280
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.2490170380078637,
|
| 406 |
+
"grad_norm": 2.3967206478118896,
|
| 407 |
+
"learning_rate": 0.00019886781552044634,
|
| 408 |
+
"loss": 0.4074,
|
| 409 |
+
"step": 285
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.25338575797291396,
|
| 413 |
+
"grad_norm": 2.0578925609588623,
|
| 414 |
+
"learning_rate": 0.0001988261996694032,
|
| 415 |
+
"loss": 0.4268,
|
| 416 |
+
"step": 290
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.2577544779379642,
|
| 420 |
+
"grad_norm": 1.7411088943481445,
|
| 421 |
+
"learning_rate": 0.0001987838372336245,
|
| 422 |
+
"loss": 0.334,
|
| 423 |
+
"step": 295
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.2621231979030144,
|
| 427 |
+
"grad_norm": 1.8145533800125122,
|
| 428 |
+
"learning_rate": 0.0001987407285331382,
|
| 429 |
+
"loss": 0.4019,
|
| 430 |
+
"step": 300
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.26649191786806464,
|
| 434 |
+
"grad_norm": 1.3501653671264648,
|
| 435 |
+
"learning_rate": 0.00019869687389361,
|
| 436 |
+
"loss": 0.32,
|
| 437 |
+
"step": 305
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.27086063783311487,
|
| 441 |
+
"grad_norm": 1.208422303199768,
|
| 442 |
+
"learning_rate": 0.00019865227364634073,
|
| 443 |
+
"loss": 0.4548,
|
| 444 |
+
"step": 310
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.27522935779816515,
|
| 448 |
+
"grad_norm": 1.521690011024475,
|
| 449 |
+
"learning_rate": 0.00019860692812826396,
|
| 450 |
+
"loss": 0.3572,
|
| 451 |
+
"step": 315
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.2795980777632154,
|
| 455 |
+
"grad_norm": 2.2849714756011963,
|
| 456 |
+
"learning_rate": 0.0001985608376819434,
|
| 457 |
+
"loss": 0.4555,
|
| 458 |
+
"step": 320
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.2839667977282656,
|
| 462 |
+
"grad_norm": 2.7733798027038574,
|
| 463 |
+
"learning_rate": 0.00019851400265557037,
|
| 464 |
+
"loss": 0.4726,
|
| 465 |
+
"step": 325
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.28833551769331583,
|
| 469 |
+
"grad_norm": 1.973522424697876,
|
| 470 |
+
"learning_rate": 0.00019846642340296114,
|
| 471 |
+
"loss": 0.4585,
|
| 472 |
+
"step": 330
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.2927042376583661,
|
| 476 |
+
"grad_norm": 1.7133642435073853,
|
| 477 |
+
"learning_rate": 0.0001984181002835542,
|
| 478 |
+
"loss": 0.4679,
|
| 479 |
+
"step": 335
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.29707295762341634,
|
| 483 |
+
"grad_norm": 2.8383235931396484,
|
| 484 |
+
"learning_rate": 0.00019836903366240768,
|
| 485 |
+
"loss": 0.4119,
|
| 486 |
+
"step": 340
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.30144167758846657,
|
| 490 |
+
"grad_norm": 2.798276901245117,
|
| 491 |
+
"learning_rate": 0.00019831922391019645,
|
| 492 |
+
"loss": 0.3665,
|
| 493 |
+
"step": 345
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.3058103975535168,
|
| 497 |
+
"grad_norm": 2.171276569366455,
|
| 498 |
+
"learning_rate": 0.00019826867140320938,
|
| 499 |
+
"loss": 0.5691,
|
| 500 |
+
"step": 350
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.3101791175185671,
|
| 504 |
+
"grad_norm": 2.0866177082061768,
|
| 505 |
+
"learning_rate": 0.00019821737652334653,
|
| 506 |
+
"loss": 0.4074,
|
| 507 |
+
"step": 355
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.3145478374836173,
|
| 511 |
+
"grad_norm": 1.3713918924331665,
|
| 512 |
+
"learning_rate": 0.0001981653396581162,
|
| 513 |
+
"loss": 0.3379,
|
| 514 |
+
"step": 360
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.31891655744866754,
|
| 518 |
+
"grad_norm": 1.6086684465408325,
|
| 519 |
+
"learning_rate": 0.0001981125612006321,
|
| 520 |
+
"loss": 0.3563,
|
| 521 |
+
"step": 365
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.32328527741371776,
|
| 525 |
+
"grad_norm": 2.655686378479004,
|
| 526 |
+
"learning_rate": 0.0001980590415496102,
|
| 527 |
+
"loss": 0.3988,
|
| 528 |
+
"step": 370
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.32765399737876805,
|
| 532 |
+
"grad_norm": 1.5271559953689575,
|
| 533 |
+
"learning_rate": 0.00019800478110936596,
|
| 534 |
+
"loss": 0.5784,
|
| 535 |
+
"step": 375
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.3320227173438183,
|
| 539 |
+
"grad_norm": 1.3043195009231567,
|
| 540 |
+
"learning_rate": 0.00019794978028981106,
|
| 541 |
+
"loss": 0.2637,
|
| 542 |
+
"step": 380
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.3363914373088685,
|
| 546 |
+
"grad_norm": 2.539109706878662,
|
| 547 |
+
"learning_rate": 0.0001978940395064504,
|
| 548 |
+
"loss": 0.4658,
|
| 549 |
+
"step": 385
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.34076015727391873,
|
| 553 |
+
"grad_norm": 1.7521268129348755,
|
| 554 |
+
"learning_rate": 0.00019783755918037903,
|
| 555 |
+
"loss": 0.4253,
|
| 556 |
+
"step": 390
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.34512887723896896,
|
| 560 |
+
"grad_norm": 1.5679692029953003,
|
| 561 |
+
"learning_rate": 0.00019778033973827882,
|
| 562 |
+
"loss": 0.4528,
|
| 563 |
+
"step": 395
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.34949759720401924,
|
| 567 |
+
"grad_norm": 1.670640468597412,
|
| 568 |
+
"learning_rate": 0.00019772238161241528,
|
| 569 |
+
"loss": 0.3724,
|
| 570 |
+
"step": 400
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.35386631716906947,
|
| 574 |
+
"grad_norm": 1.520856261253357,
|
| 575 |
+
"learning_rate": 0.00019766368524063438,
|
| 576 |
+
"loss": 0.4141,
|
| 577 |
+
"step": 405
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.3582350371341197,
|
| 581 |
+
"grad_norm": 1.0802158117294312,
|
| 582 |
+
"learning_rate": 0.00019760425106635926,
|
| 583 |
+
"loss": 0.3268,
|
| 584 |
+
"step": 410
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.3626037570991699,
|
| 588 |
+
"grad_norm": 1.7306379079818726,
|
| 589 |
+
"learning_rate": 0.0001975440795385866,
|
| 590 |
+
"loss": 0.3654,
|
| 591 |
+
"step": 415
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.3669724770642202,
|
| 595 |
+
"grad_norm": 1.5037274360656738,
|
| 596 |
+
"learning_rate": 0.0001974831711118836,
|
| 597 |
+
"loss": 0.4285,
|
| 598 |
+
"step": 420
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.37134119702927043,
|
| 602 |
+
"grad_norm": 1.4654844999313354,
|
| 603 |
+
"learning_rate": 0.00019742152624638437,
|
| 604 |
+
"loss": 0.2548,
|
| 605 |
+
"step": 425
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.37570991699432066,
|
| 609 |
+
"grad_norm": 2.6770753860473633,
|
| 610 |
+
"learning_rate": 0.00019735914540778638,
|
| 611 |
+
"loss": 0.4238,
|
| 612 |
+
"step": 430
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.3800786369593709,
|
| 616 |
+
"grad_norm": 1.1864055395126343,
|
| 617 |
+
"learning_rate": 0.00019729602906734704,
|
| 618 |
+
"loss": 0.3959,
|
| 619 |
+
"step": 435
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.38444735692442117,
|
| 623 |
+
"grad_norm": 1.904876708984375,
|
| 624 |
+
"learning_rate": 0.00019723217770188024,
|
| 625 |
+
"loss": 0.3603,
|
| 626 |
+
"step": 440
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.3888160768894714,
|
| 630 |
+
"grad_norm": 1.7086598873138428,
|
| 631 |
+
"learning_rate": 0.0001971675917937525,
|
| 632 |
+
"loss": 0.551,
|
| 633 |
+
"step": 445
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.3931847968545216,
|
| 637 |
+
"grad_norm": 1.4635995626449585,
|
| 638 |
+
"learning_rate": 0.00019710227183087947,
|
| 639 |
+
"loss": 0.3738,
|
| 640 |
+
"step": 450
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.39755351681957185,
|
| 644 |
+
"grad_norm": 1.6047295331954956,
|
| 645 |
+
"learning_rate": 0.00019703621830672238,
|
| 646 |
+
"loss": 0.475,
|
| 647 |
+
"step": 455
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.40192223678462213,
|
| 651 |
+
"grad_norm": 1.4741933345794678,
|
| 652 |
+
"learning_rate": 0.00019696943172028394,
|
| 653 |
+
"loss": 0.4021,
|
| 654 |
+
"step": 460
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.40629095674967236,
|
| 658 |
+
"grad_norm": 2.8138020038604736,
|
| 659 |
+
"learning_rate": 0.00019690191257610497,
|
| 660 |
+
"loss": 0.3665,
|
| 661 |
+
"step": 465
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.4106596767147226,
|
| 665 |
+
"grad_norm": 1.6264874935150146,
|
| 666 |
+
"learning_rate": 0.00019683366138426034,
|
| 667 |
+
"loss": 0.3598,
|
| 668 |
+
"step": 470
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.4150283966797728,
|
| 672 |
+
"grad_norm": 1.6185061931610107,
|
| 673 |
+
"learning_rate": 0.00019676467866035525,
|
| 674 |
+
"loss": 0.5003,
|
| 675 |
+
"step": 475
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.41939711664482304,
|
| 679 |
+
"grad_norm": 1.8654040098190308,
|
| 680 |
+
"learning_rate": 0.00019669496492552113,
|
| 681 |
+
"loss": 0.397,
|
| 682 |
+
"step": 480
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.4237658366098733,
|
| 686 |
+
"grad_norm": 1.2525237798690796,
|
| 687 |
+
"learning_rate": 0.00019662452070641205,
|
| 688 |
+
"loss": 0.3235,
|
| 689 |
+
"step": 485
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.42813455657492355,
|
| 693 |
+
"grad_norm": 1.7755401134490967,
|
| 694 |
+
"learning_rate": 0.00019655334653520036,
|
| 695 |
+
"loss": 0.2978,
|
| 696 |
+
"step": 490
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.4325032765399738,
|
| 700 |
+
"grad_norm": 1.6025470495224,
|
| 701 |
+
"learning_rate": 0.00019648144294957297,
|
| 702 |
+
"loss": 0.4436,
|
| 703 |
+
"step": 495
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.436871996505024,
|
| 707 |
+
"grad_norm": 1.085461974143982,
|
| 708 |
+
"learning_rate": 0.00019640881049272713,
|
| 709 |
+
"loss": 0.22,
|
| 710 |
+
"step": 500
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.4412407164700743,
|
| 714 |
+
"grad_norm": 1.491818904876709,
|
| 715 |
+
"learning_rate": 0.00019633544971336636,
|
| 716 |
+
"loss": 0.2714,
|
| 717 |
+
"step": 505
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.4456094364351245,
|
| 721 |
+
"grad_norm": 0.9479840993881226,
|
| 722 |
+
"learning_rate": 0.0001962613611656963,
|
| 723 |
+
"loss": 0.3735,
|
| 724 |
+
"step": 510
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.44997815640017474,
|
| 728 |
+
"grad_norm": 3.0529448986053467,
|
| 729 |
+
"learning_rate": 0.0001961865454094205,
|
| 730 |
+
"loss": 0.4779,
|
| 731 |
+
"step": 515
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.45434687636522497,
|
| 735 |
+
"grad_norm": 2.831089973449707,
|
| 736 |
+
"learning_rate": 0.00019611100300973635,
|
| 737 |
+
"loss": 0.469,
|
| 738 |
+
"step": 520
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.45871559633027525,
|
| 742 |
+
"grad_norm": 2.1834311485290527,
|
| 743 |
+
"learning_rate": 0.00019603473453733052,
|
| 744 |
+
"loss": 0.4163,
|
| 745 |
+
"step": 525
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.4630843162953255,
|
| 749 |
+
"grad_norm": 1.3152204751968384,
|
| 750 |
+
"learning_rate": 0.00019595774056837493,
|
| 751 |
+
"loss": 0.3744,
|
| 752 |
+
"step": 530
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.4674530362603757,
|
| 756 |
+
"grad_norm": 1.4493387937545776,
|
| 757 |
+
"learning_rate": 0.00019588002168452223,
|
| 758 |
+
"loss": 0.3117,
|
| 759 |
+
"step": 535
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.47182175622542594,
|
| 763 |
+
"grad_norm": 1.1412076950073242,
|
| 764 |
+
"learning_rate": 0.00019580157847290147,
|
| 765 |
+
"loss": 0.3152,
|
| 766 |
+
"step": 540
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.47619047619047616,
|
| 770 |
+
"grad_norm": 1.5004645586013794,
|
| 771 |
+
"learning_rate": 0.00019572241152611365,
|
| 772 |
+
"loss": 0.3271,
|
| 773 |
+
"step": 545
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.48055919615552645,
|
| 777 |
+
"grad_norm": 2.3333992958068848,
|
| 778 |
+
"learning_rate": 0.0001956425214422272,
|
| 779 |
+
"loss": 0.3626,
|
| 780 |
+
"step": 550
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.4849279161205767,
|
| 784 |
+
"grad_norm": 1.5423107147216797,
|
| 785 |
+
"learning_rate": 0.0001955619088247736,
|
| 786 |
+
"loss": 0.4588,
|
| 787 |
+
"step": 555
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.4892966360856269,
|
| 791 |
+
"grad_norm": 3.008280038833618,
|
| 792 |
+
"learning_rate": 0.00019548057428274266,
|
| 793 |
+
"loss": 0.5275,
|
| 794 |
+
"step": 560
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.49366535605067713,
|
| 798 |
+
"grad_norm": 1.0968583822250366,
|
| 799 |
+
"learning_rate": 0.00019539851843057798,
|
| 800 |
+
"loss": 0.3233,
|
| 801 |
+
"step": 565
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.4980340760157274,
|
| 805 |
+
"grad_norm": 1.265228271484375,
|
| 806 |
+
"learning_rate": 0.00019531574188817234,
|
| 807 |
+
"loss": 0.2743,
|
| 808 |
+
"step": 570
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.5024027959807776,
|
| 812 |
+
"grad_norm": 1.9382916688919067,
|
| 813 |
+
"learning_rate": 0.000195232245280863,
|
| 814 |
+
"loss": 0.3189,
|
| 815 |
+
"step": 575
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.5067715159458279,
|
| 819 |
+
"grad_norm": 1.6710058450698853,
|
| 820 |
+
"learning_rate": 0.00019514802923942687,
|
| 821 |
+
"loss": 0.345,
|
| 822 |
+
"step": 580
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.5111402359108781,
|
| 826 |
+
"grad_norm": 1.8377633094787598,
|
| 827 |
+
"learning_rate": 0.000195063094400076,
|
| 828 |
+
"loss": 0.4441,
|
| 829 |
+
"step": 585
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.5155089558759284,
|
| 833 |
+
"grad_norm": 1.432173728942871,
|
| 834 |
+
"learning_rate": 0.0001949774414044525,
|
| 835 |
+
"loss": 0.3277,
|
| 836 |
+
"step": 590
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.5198776758409785,
|
| 840 |
+
"grad_norm": 1.096330165863037,
|
| 841 |
+
"learning_rate": 0.0001948910708996239,
|
| 842 |
+
"loss": 0.3821,
|
| 843 |
+
"step": 595
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.5242463958060288,
|
| 847 |
+
"grad_norm": 1.1951391696929932,
|
| 848 |
+
"learning_rate": 0.00019480398353807798,
|
| 849 |
+
"loss": 0.4303,
|
| 850 |
+
"step": 600
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.5286151157710791,
|
| 854 |
+
"grad_norm": 0.9764880537986755,
|
| 855 |
+
"learning_rate": 0.0001947161799777183,
|
| 856 |
+
"loss": 0.2693,
|
| 857 |
+
"step": 605
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.5329838357361293,
|
| 861 |
+
"grad_norm": 1.2566354274749756,
|
| 862 |
+
"learning_rate": 0.00019462766088185874,
|
| 863 |
+
"loss": 0.2851,
|
| 864 |
+
"step": 610
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.5373525557011796,
|
| 868 |
+
"grad_norm": 1.494903802871704,
|
| 869 |
+
"learning_rate": 0.0001945384269192188,
|
| 870 |
+
"loss": 0.36,
|
| 871 |
+
"step": 615
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.5417212756662297,
|
| 875 |
+
"grad_norm": 1.5508995056152344,
|
| 876 |
+
"learning_rate": 0.00019444847876391844,
|
| 877 |
+
"loss": 0.3682,
|
| 878 |
+
"step": 620
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.54608999563128,
|
| 882 |
+
"grad_norm": 2.227889060974121,
|
| 883 |
+
"learning_rate": 0.00019435781709547305,
|
| 884 |
+
"loss": 0.3889,
|
| 885 |
+
"step": 625
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.5504587155963303,
|
| 889 |
+
"grad_norm": 0.9221494197845459,
|
| 890 |
+
"learning_rate": 0.0001942664425987882,
|
| 891 |
+
"loss": 0.3375,
|
| 892 |
+
"step": 630
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.5548274355613805,
|
| 896 |
+
"grad_norm": 1.3386973142623901,
|
| 897 |
+
"learning_rate": 0.00019417435596415458,
|
| 898 |
+
"loss": 0.4833,
|
| 899 |
+
"step": 635
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.5591961555264308,
|
| 903 |
+
"grad_norm": 1.9686752557754517,
|
| 904 |
+
"learning_rate": 0.00019408155788724272,
|
| 905 |
+
"loss": 0.4739,
|
| 906 |
+
"step": 640
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.563564875491481,
|
| 910 |
+
"grad_norm": 2.3978073596954346,
|
| 911 |
+
"learning_rate": 0.00019398804906909777,
|
| 912 |
+
"loss": 0.4681,
|
| 913 |
+
"step": 645
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.5679335954565312,
|
| 917 |
+
"grad_norm": 1.536699652671814,
|
| 918 |
+
"learning_rate": 0.0001938938302161342,
|
| 919 |
+
"loss": 0.2684,
|
| 920 |
+
"step": 650
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.5723023154215815,
|
| 924 |
+
"grad_norm": 1.691787600517273,
|
| 925 |
+
"learning_rate": 0.00019379890204013043,
|
| 926 |
+
"loss": 0.3512,
|
| 927 |
+
"step": 655
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.5766710353866317,
|
| 931 |
+
"grad_norm": 1.7557870149612427,
|
| 932 |
+
"learning_rate": 0.0001937032652582235,
|
| 933 |
+
"loss": 0.3423,
|
| 934 |
+
"step": 660
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.581039755351682,
|
| 938 |
+
"grad_norm": 1.7950220108032227,
|
| 939 |
+
"learning_rate": 0.0001936069205929036,
|
| 940 |
+
"loss": 0.2831,
|
| 941 |
+
"step": 665
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.5854084753167322,
|
| 945 |
+
"grad_norm": 1.928232192993164,
|
| 946 |
+
"learning_rate": 0.00019350986877200867,
|
| 947 |
+
"loss": 0.323,
|
| 948 |
+
"step": 670
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.5897771952817824,
|
| 952 |
+
"grad_norm": 1.86429762840271,
|
| 953 |
+
"learning_rate": 0.00019341211052871887,
|
| 954 |
+
"loss": 0.4248,
|
| 955 |
+
"step": 675
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.5941459152468327,
|
| 959 |
+
"grad_norm": 2.022738456726074,
|
| 960 |
+
"learning_rate": 0.00019331364660155103,
|
| 961 |
+
"loss": 0.3411,
|
| 962 |
+
"step": 680
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.598514635211883,
|
| 966 |
+
"grad_norm": 1.2337995767593384,
|
| 967 |
+
"learning_rate": 0.00019321447773435306,
|
| 968 |
+
"loss": 0.2368,
|
| 969 |
+
"step": 685
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.6028833551769331,
|
| 973 |
+
"grad_norm": 2.015075445175171,
|
| 974 |
+
"learning_rate": 0.00019311460467629843,
|
| 975 |
+
"loss": 0.5116,
|
| 976 |
+
"step": 690
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.6072520751419834,
|
| 980 |
+
"grad_norm": 1.2344030141830444,
|
| 981 |
+
"learning_rate": 0.00019301402818188036,
|
| 982 |
+
"loss": 0.3313,
|
| 983 |
+
"step": 695
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.6116207951070336,
|
| 987 |
+
"grad_norm": 1.129764437675476,
|
| 988 |
+
"learning_rate": 0.00019291274901090625,
|
| 989 |
+
"loss": 0.408,
|
| 990 |
+
"step": 700
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.6159895150720839,
|
| 994 |
+
"grad_norm": 1.4350385665893555,
|
| 995 |
+
"learning_rate": 0.00019281076792849184,
|
| 996 |
+
"loss": 0.3729,
|
| 997 |
+
"step": 705
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.6203582350371342,
|
| 1001 |
+
"grad_norm": 1.9586119651794434,
|
| 1002 |
+
"learning_rate": 0.00019270808570505553,
|
| 1003 |
+
"loss": 0.4315,
|
| 1004 |
+
"step": 710
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.6247269550021843,
|
| 1008 |
+
"grad_norm": 1.0157238245010376,
|
| 1009 |
+
"learning_rate": 0.00019260470311631243,
|
| 1010 |
+
"loss": 0.2861,
|
| 1011 |
+
"step": 715
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.6290956749672346,
|
| 1015 |
+
"grad_norm": 1.3841652870178223,
|
| 1016 |
+
"learning_rate": 0.00019250062094326864,
|
| 1017 |
+
"loss": 0.4037,
|
| 1018 |
+
"step": 720
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.6334643949322848,
|
| 1022 |
+
"grad_norm": 1.848821997642517,
|
| 1023 |
+
"learning_rate": 0.00019239583997221525,
|
| 1024 |
+
"loss": 0.3665,
|
| 1025 |
+
"step": 725
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.6378331148973351,
|
| 1029 |
+
"grad_norm": 0.9416481256484985,
|
| 1030 |
+
"learning_rate": 0.0001922903609947225,
|
| 1031 |
+
"loss": 0.339,
|
| 1032 |
+
"step": 730
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.6422018348623854,
|
| 1036 |
+
"grad_norm": 1.0696804523468018,
|
| 1037 |
+
"learning_rate": 0.0001921841848076336,
|
| 1038 |
+
"loss": 0.2783,
|
| 1039 |
+
"step": 735
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.6465705548274355,
|
| 1043 |
+
"grad_norm": 1.9199622869491577,
|
| 1044 |
+
"learning_rate": 0.00019207731221305903,
|
| 1045 |
+
"loss": 0.2904,
|
| 1046 |
+
"step": 740
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.6509392747924858,
|
| 1050 |
+
"grad_norm": 1.347430944442749,
|
| 1051 |
+
"learning_rate": 0.00019196974401837008,
|
| 1052 |
+
"loss": 0.2719,
|
| 1053 |
+
"step": 745
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.6553079947575361,
|
| 1057 |
+
"grad_norm": 0.9743670225143433,
|
| 1058 |
+
"learning_rate": 0.0001918614810361932,
|
| 1059 |
+
"loss": 0.2748,
|
| 1060 |
+
"step": 750
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.6596767147225863,
|
| 1064 |
+
"grad_norm": 1.4043099880218506,
|
| 1065 |
+
"learning_rate": 0.00019175252408440343,
|
| 1066 |
+
"loss": 0.3285,
|
| 1067 |
+
"step": 755
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.6640454346876365,
|
| 1071 |
+
"grad_norm": 2.9343338012695312,
|
| 1072 |
+
"learning_rate": 0.0001916428739861185,
|
| 1073 |
+
"loss": 0.4962,
|
| 1074 |
+
"step": 760
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.6684141546526867,
|
| 1078 |
+
"grad_norm": 2.3201515674591064,
|
| 1079 |
+
"learning_rate": 0.0001915325315696926,
|
| 1080 |
+
"loss": 0.3243,
|
| 1081 |
+
"step": 765
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.672782874617737,
|
| 1085 |
+
"grad_norm": 1.675564169883728,
|
| 1086 |
+
"learning_rate": 0.00019142149766870992,
|
| 1087 |
+
"loss": 0.4596,
|
| 1088 |
+
"step": 770
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.6771515945827873,
|
| 1092 |
+
"grad_norm": 1.664604663848877,
|
| 1093 |
+
"learning_rate": 0.00019130977312197854,
|
| 1094 |
+
"loss": 0.3024,
|
| 1095 |
+
"step": 775
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.6815203145478375,
|
| 1099 |
+
"grad_norm": 1.8358148336410522,
|
| 1100 |
+
"learning_rate": 0.00019119735877352412,
|
| 1101 |
+
"loss": 0.3862,
|
| 1102 |
+
"step": 780
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.6858890345128877,
|
| 1106 |
+
"grad_norm": 1.3632128238677979,
|
| 1107 |
+
"learning_rate": 0.00019108425547258328,
|
| 1108 |
+
"loss": 0.2374,
|
| 1109 |
+
"step": 785
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.6902577544779379,
|
| 1113 |
+
"grad_norm": 2.0279934406280518,
|
| 1114 |
+
"learning_rate": 0.0001909704640735975,
|
| 1115 |
+
"loss": 0.4392,
|
| 1116 |
+
"step": 790
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.6946264744429882,
|
| 1120 |
+
"grad_norm": 1.2824902534484863,
|
| 1121 |
+
"learning_rate": 0.0001908559854362064,
|
| 1122 |
+
"loss": 0.2782,
|
| 1123 |
+
"step": 795
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.6989951944080385,
|
| 1127 |
+
"grad_norm": 1.3477047681808472,
|
| 1128 |
+
"learning_rate": 0.00019074082042524145,
|
| 1129 |
+
"loss": 0.3631,
|
| 1130 |
+
"step": 800
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.7033639143730887,
|
| 1134 |
+
"grad_norm": 1.8478046655654907,
|
| 1135 |
+
"learning_rate": 0.00019062496991071928,
|
| 1136 |
+
"loss": 0.3788,
|
| 1137 |
+
"step": 805
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.7077326343381389,
|
| 1141 |
+
"grad_norm": 1.470382571220398,
|
| 1142 |
+
"learning_rate": 0.0001905084347678352,
|
| 1143 |
+
"loss": 0.3825,
|
| 1144 |
+
"step": 810
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.7121013543031892,
|
| 1148 |
+
"grad_norm": 2.4951813220977783,
|
| 1149 |
+
"learning_rate": 0.00019039121587695652,
|
| 1150 |
+
"loss": 0.3359,
|
| 1151 |
+
"step": 815
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.7164700742682394,
|
| 1155 |
+
"grad_norm": 2.3441359996795654,
|
| 1156 |
+
"learning_rate": 0.000190273314123616,
|
| 1157 |
+
"loss": 0.32,
|
| 1158 |
+
"step": 820
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.7208387942332897,
|
| 1162 |
+
"grad_norm": 2.372884750366211,
|
| 1163 |
+
"learning_rate": 0.00019015473039850513,
|
| 1164 |
+
"loss": 0.3651,
|
| 1165 |
+
"step": 825
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.7252075141983398,
|
| 1169 |
+
"grad_norm": 2.4474101066589355,
|
| 1170 |
+
"learning_rate": 0.0001900354655974672,
|
| 1171 |
+
"loss": 0.4401,
|
| 1172 |
+
"step": 830
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.7295762341633901,
|
| 1176 |
+
"grad_norm": 1.4031054973602295,
|
| 1177 |
+
"learning_rate": 0.0001899155206214909,
|
| 1178 |
+
"loss": 0.308,
|
| 1179 |
+
"step": 835
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.7339449541284404,
|
| 1183 |
+
"grad_norm": 1.6008141040802002,
|
| 1184 |
+
"learning_rate": 0.00018979489637670322,
|
| 1185 |
+
"loss": 0.2937,
|
| 1186 |
+
"step": 840
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.7383136740934906,
|
| 1190 |
+
"grad_norm": 0.9202178120613098,
|
| 1191 |
+
"learning_rate": 0.0001896735937743627,
|
| 1192 |
+
"loss": 0.3157,
|
| 1193 |
+
"step": 845
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.7426823940585409,
|
| 1197 |
+
"grad_norm": 1.024746298789978,
|
| 1198 |
+
"learning_rate": 0.00018955161373085253,
|
| 1199 |
+
"loss": 0.2934,
|
| 1200 |
+
"step": 850
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.747051114023591,
|
| 1204 |
+
"grad_norm": 1.1573566198349,
|
| 1205 |
+
"learning_rate": 0.00018942895716767374,
|
| 1206 |
+
"loss": 0.3617,
|
| 1207 |
+
"step": 855
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.7514198339886413,
|
| 1211 |
+
"grad_norm": 1.227409839630127,
|
| 1212 |
+
"learning_rate": 0.00018930562501143805,
|
| 1213 |
+
"loss": 0.3581,
|
| 1214 |
+
"step": 860
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.7557885539536916,
|
| 1218 |
+
"grad_norm": 1.5460100173950195,
|
| 1219 |
+
"learning_rate": 0.00018918161819386095,
|
| 1220 |
+
"loss": 0.3393,
|
| 1221 |
+
"step": 865
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.7601572739187418,
|
| 1225 |
+
"grad_norm": 1.688852310180664,
|
| 1226 |
+
"learning_rate": 0.0001890569376517548,
|
| 1227 |
+
"loss": 0.4389,
|
| 1228 |
+
"step": 870
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.764525993883792,
|
| 1232 |
+
"grad_norm": 1.5271598100662231,
|
| 1233 |
+
"learning_rate": 0.00018893158432702149,
|
| 1234 |
+
"loss": 0.2915,
|
| 1235 |
+
"step": 875
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.7688947138488423,
|
| 1239 |
+
"grad_norm": 1.695788860321045,
|
| 1240 |
+
"learning_rate": 0.00018880555916664555,
|
| 1241 |
+
"loss": 0.4026,
|
| 1242 |
+
"step": 880
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.7732634338138925,
|
| 1246 |
+
"grad_norm": 1.6879792213439941,
|
| 1247 |
+
"learning_rate": 0.00018867886312268683,
|
| 1248 |
+
"loss": 0.2857,
|
| 1249 |
+
"step": 885
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.7776321537789428,
|
| 1253 |
+
"grad_norm": 2.0718719959259033,
|
| 1254 |
+
"learning_rate": 0.00018855149715227344,
|
| 1255 |
+
"loss": 0.4236,
|
| 1256 |
+
"step": 890
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.782000873743993,
|
| 1260 |
+
"grad_norm": 1.5112775564193726,
|
| 1261 |
+
"learning_rate": 0.00018842346221759448,
|
| 1262 |
+
"loss": 0.325,
|
| 1263 |
+
"step": 895
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.7863695937090432,
|
| 1267 |
+
"grad_norm": 1.2844749689102173,
|
| 1268 |
+
"learning_rate": 0.00018829475928589271,
|
| 1269 |
+
"loss": 0.3782,
|
| 1270 |
+
"step": 900
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.7907383136740935,
|
| 1274 |
+
"grad_norm": 2.150299072265625,
|
| 1275 |
+
"learning_rate": 0.00018816538932945728,
|
| 1276 |
+
"loss": 0.3726,
|
| 1277 |
+
"step": 905
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.7951070336391437,
|
| 1281 |
+
"grad_norm": 1.7050650119781494,
|
| 1282 |
+
"learning_rate": 0.00018803535332561646,
|
| 1283 |
+
"loss": 0.3824,
|
| 1284 |
+
"step": 910
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.799475753604194,
|
| 1288 |
+
"grad_norm": 1.8164982795715332,
|
| 1289 |
+
"learning_rate": 0.00018790465225673012,
|
| 1290 |
+
"loss": 0.3664,
|
| 1291 |
+
"step": 915
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.8038444735692443,
|
| 1295 |
+
"grad_norm": 1.1102941036224365,
|
| 1296 |
+
"learning_rate": 0.00018777328711018244,
|
| 1297 |
+
"loss": 0.3166,
|
| 1298 |
+
"step": 920
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.8082131935342944,
|
| 1302 |
+
"grad_norm": 1.4220764636993408,
|
| 1303 |
+
"learning_rate": 0.0001876412588783743,
|
| 1304 |
+
"loss": 0.3049,
|
| 1305 |
+
"step": 925
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.8125819134993447,
|
| 1309 |
+
"grad_norm": 2.11336088180542,
|
| 1310 |
+
"learning_rate": 0.000187508568558716,
|
| 1311 |
+
"loss": 0.3076,
|
| 1312 |
+
"step": 930
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.8169506334643949,
|
| 1316 |
+
"grad_norm": 1.9948710203170776,
|
| 1317 |
+
"learning_rate": 0.00018737521715361948,
|
| 1318 |
+
"loss": 0.3846,
|
| 1319 |
+
"step": 935
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.8213193534294452,
|
| 1323 |
+
"grad_norm": 1.8913676738739014,
|
| 1324 |
+
"learning_rate": 0.00018724120567049094,
|
| 1325 |
+
"loss": 0.4296,
|
| 1326 |
+
"step": 940
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.8256880733944955,
|
| 1330 |
+
"grad_norm": 1.3633447885513306,
|
| 1331 |
+
"learning_rate": 0.0001871065351217231,
|
| 1332 |
+
"loss": 0.3569,
|
| 1333 |
+
"step": 945
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.8300567933595456,
|
| 1337 |
+
"grad_norm": 1.4957417249679565,
|
| 1338 |
+
"learning_rate": 0.00018697120652468762,
|
| 1339 |
+
"loss": 0.3085,
|
| 1340 |
+
"step": 950
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.8344255133245959,
|
| 1344 |
+
"grad_norm": 2.076399803161621,
|
| 1345 |
+
"learning_rate": 0.0001868352209017275,
|
| 1346 |
+
"loss": 0.3331,
|
| 1347 |
+
"step": 955
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.8387942332896461,
|
| 1351 |
+
"grad_norm": 1.1817855834960938,
|
| 1352 |
+
"learning_rate": 0.00018669857928014906,
|
| 1353 |
+
"loss": 0.3414,
|
| 1354 |
+
"step": 960
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.8431629532546964,
|
| 1358 |
+
"grad_norm": 1.4255414009094238,
|
| 1359 |
+
"learning_rate": 0.00018656128269221454,
|
| 1360 |
+
"loss": 0.2782,
|
| 1361 |
+
"step": 965
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.8475316732197467,
|
| 1365 |
+
"grad_norm": 1.326687216758728,
|
| 1366 |
+
"learning_rate": 0.0001864233321751341,
|
| 1367 |
+
"loss": 0.2998,
|
| 1368 |
+
"step": 970
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.8519003931847968,
|
| 1372 |
+
"grad_norm": 2.222280263900757,
|
| 1373 |
+
"learning_rate": 0.00018628472877105793,
|
| 1374 |
+
"loss": 0.3348,
|
| 1375 |
+
"step": 975
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.8562691131498471,
|
| 1379 |
+
"grad_norm": 1.518401026725769,
|
| 1380 |
+
"learning_rate": 0.00018614547352706863,
|
| 1381 |
+
"loss": 0.3816,
|
| 1382 |
+
"step": 980
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.8606378331148974,
|
| 1386 |
+
"grad_norm": 1.1030207872390747,
|
| 1387 |
+
"learning_rate": 0.00018600556749517305,
|
| 1388 |
+
"loss": 0.3222,
|
| 1389 |
+
"step": 985
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.8650065530799476,
|
| 1393 |
+
"grad_norm": 2.406994104385376,
|
| 1394 |
+
"learning_rate": 0.00018586501173229437,
|
| 1395 |
+
"loss": 0.3754,
|
| 1396 |
+
"step": 990
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.8693752730449978,
|
| 1400 |
+
"grad_norm": 1.2401646375656128,
|
| 1401 |
+
"learning_rate": 0.00018572380730026434,
|
| 1402 |
+
"loss": 0.4402,
|
| 1403 |
+
"step": 995
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.873743993010048,
|
| 1407 |
+
"grad_norm": 2.0233402252197266,
|
| 1408 |
+
"learning_rate": 0.0001855819552658149,
|
| 1409 |
+
"loss": 0.3323,
|
| 1410 |
+
"step": 1000
|
| 1411 |
+
}
|
| 1412 |
+
],
|
| 1413 |
+
"logging_steps": 5,
|
| 1414 |
+
"max_steps": 5725,
|
| 1415 |
+
"num_input_tokens_seen": 0,
|
| 1416 |
+
"num_train_epochs": 5,
|
| 1417 |
+
"save_steps": 100,
|
| 1418 |
+
"stateful_callbacks": {
|
| 1419 |
+
"TrainerControl": {
|
| 1420 |
+
"args": {
|
| 1421 |
+
"should_epoch_stop": false,
|
| 1422 |
+
"should_evaluate": false,
|
| 1423 |
+
"should_log": false,
|
| 1424 |
+
"should_save": true,
|
| 1425 |
+
"should_training_stop": false
|
| 1426 |
+
},
|
| 1427 |
+
"attributes": {}
|
| 1428 |
+
}
|
| 1429 |
+
},
|
| 1430 |
+
"total_flos": 485735378608128.0,
|
| 1431 |
+
"train_batch_size": 4,
|
| 1432 |
+
"trial_name": null,
|
| 1433 |
+
"trial_params": null
|
| 1434 |
+
}
|
checkpoint-1000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:629a35960f565450f5c9e65334fb9c14eb136182b8af4bc22c885bdde32de5f3
|
| 3 |
+
size 5777
|
checkpoint-1100/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/functiongemma-270m-it
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/functiongemma-270m-it
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.1
|
checkpoint-1100/adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/functiongemma-270m-it",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 128,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 64,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"down_proj",
|
| 30 |
+
"o_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"up_proj"
|
| 35 |
+
],
|
| 36 |
+
"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|
checkpoint-1100/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cfa7e5dcebe3d84bc2f13e835e8c7c167e2bd913f8acb028dace29615ac4a2ab
|
| 3 |
+
size 60785144
|
checkpoint-1100/added_tokens.json
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<end_of_image>": 262145,
|
| 3 |
+
"<image_soft_token>": 262144
|
| 4 |
+
}
|
checkpoint-1100/chat_template.jinja
ADDED
|
@@ -0,0 +1,282 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- macro format_parameters(properties, required) -%}
|
| 2 |
+
{%- set standard_keys = ['description', 'type', 'properties', 'required', 'nullable'] -%}
|
| 3 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 4 |
+
{%- for key, value in properties | dictsort -%}
|
| 5 |
+
{%- if key not in standard_keys -%}
|
| 6 |
+
{%- if ns.found_first %},{% endif -%}
|
| 7 |
+
{%- set ns.found_first = true -%}
|
| 8 |
+
{{- key }}:{description:<escape>{{ value['description'] }}<escape>
|
| 9 |
+
{%- if value['type'] | upper == 'STRING' -%}
|
| 10 |
+
{%- if value['enum'] -%}
|
| 11 |
+
,enum:{{ format_argument(value['enum']) }}
|
| 12 |
+
{%- endif -%}
|
| 13 |
+
{%- elif value['type'] | upper == 'OBJECT' -%}
|
| 14 |
+
,properties:{
|
| 15 |
+
{%- if value['properties'] is defined and value['properties'] is mapping -%}
|
| 16 |
+
{{- format_parameters(value['properties'], value['required'] | default([])) -}}
|
| 17 |
+
{%- elif value is mapping -%}
|
| 18 |
+
{{- format_parameters(value, value['required'] | default([])) -}}
|
| 19 |
+
{%- endif -%}
|
| 20 |
+
}
|
| 21 |
+
{%- if value['required'] -%}
|
| 22 |
+
,required:[
|
| 23 |
+
{%- for item in value['required'] | default([]) -%}
|
| 24 |
+
<escape>{{- item -}}<escape>
|
| 25 |
+
{%- if not loop.last %},{% endif -%}
|
| 26 |
+
{%- endfor -%}
|
| 27 |
+
]
|
| 28 |
+
{%- endif -%}
|
| 29 |
+
{%- elif value['type'] | upper == 'ARRAY' -%}
|
| 30 |
+
{%- if value['items'] is mapping and value['items'] -%}
|
| 31 |
+
,items:{
|
| 32 |
+
{%- set ns_items = namespace(found_first=false) -%}
|
| 33 |
+
{%- for item_key, item_value in value['items'] | dictsort -%}
|
| 34 |
+
{%- if item_value is not none -%}
|
| 35 |
+
{%- if ns_items.found_first %},{% endif -%}
|
| 36 |
+
{%- set ns_items.found_first = true -%}
|
| 37 |
+
{%- if item_key == 'properties' -%}
|
| 38 |
+
properties:{
|
| 39 |
+
{%- if item_value is mapping -%}
|
| 40 |
+
{{- format_parameters(item_value, value['items']['required'] | default([])) -}}
|
| 41 |
+
{%- endif -%}
|
| 42 |
+
}
|
| 43 |
+
{%- elif item_key == 'required' -%}
|
| 44 |
+
required:[
|
| 45 |
+
{%- for req_item in item_value -%}
|
| 46 |
+
<escape>{{- req_item -}}<escape>
|
| 47 |
+
{%- if not loop.last %},{% endif -%}
|
| 48 |
+
{%- endfor -%}
|
| 49 |
+
]
|
| 50 |
+
{%- elif item_key == 'type' -%}
|
| 51 |
+
{%- if item_value is string -%}
|
| 52 |
+
type:{{ format_argument(item_value | upper) }}
|
| 53 |
+
{%- else -%}
|
| 54 |
+
type:{{ format_argument(item_value | map('upper') | list) }}
|
| 55 |
+
{%- endif -%}
|
| 56 |
+
{%- else -%}
|
| 57 |
+
{{ item_key }}:{{ format_argument(item_value) }}
|
| 58 |
+
{%- endif -%}
|
| 59 |
+
{%- endif -%}
|
| 60 |
+
{%- endfor -%}
|
| 61 |
+
}
|
| 62 |
+
{%- endif -%}
|
| 63 |
+
{%- endif -%}
|
| 64 |
+
,type:<escape>{{ value['type'] | upper }}<escape>}
|
| 65 |
+
{%- endif -%}
|
| 66 |
+
{%- endfor -%}
|
| 67 |
+
{%- endmacro -%}
|
| 68 |
+
{% macro format_function_declaration(tool_data) -%}
|
| 69 |
+
declaration:{{- tool_data['function']['name'] -}}
|
| 70 |
+
{description:<escape>{{- tool_data['function']['description'] -}}<escape>
|
| 71 |
+
{%- set params = tool_data['function']['parameters'] -%}
|
| 72 |
+
{%- if params -%}
|
| 73 |
+
,parameters:{
|
| 74 |
+
{%- if params['properties'] -%}
|
| 75 |
+
properties:{ {{- format_parameters(params['properties'], params['required']) -}} },
|
| 76 |
+
{%- endif -%}
|
| 77 |
+
{%- if params['required'] -%}
|
| 78 |
+
required:[
|
| 79 |
+
{%- for item in params['required'] -%}
|
| 80 |
+
<escape>{{- item -}}<escape>
|
| 81 |
+
{{- ',' if not loop.last -}}
|
| 82 |
+
{%- endfor -%}
|
| 83 |
+
],
|
| 84 |
+
{%- endif -%}
|
| 85 |
+
{%- if params['type'] -%}
|
| 86 |
+
type:<escape>{{- params['type'] | upper -}}<escape>}
|
| 87 |
+
{%- endif -%}
|
| 88 |
+
{%- endif -%}
|
| 89 |
+
}
|
| 90 |
+
{%- endmacro -%}
|
| 91 |
+
{% macro format_argument(argument, escape_keys=True) -%}
|
| 92 |
+
{%- if argument is string -%}
|
| 93 |
+
{{- '<escape>' + argument + '<escape>' -}}
|
| 94 |
+
{%- elif argument is boolean -%}
|
| 95 |
+
{%- if argument -%}
|
| 96 |
+
{{- 'true' -}}
|
| 97 |
+
{%- else -%}
|
| 98 |
+
{{- 'false' -}}
|
| 99 |
+
{%- endif -%}
|
| 100 |
+
{%- elif argument is mapping -%}
|
| 101 |
+
{{- '{' -}}
|
| 102 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 103 |
+
{%- for key, value in argument | dictsort -%}
|
| 104 |
+
{%- if ns.found_first %},{% endif -%}
|
| 105 |
+
{%- set ns.found_first = true -%}
|
| 106 |
+
{%- if escape_keys -%}
|
| 107 |
+
{{- '<escape>' + key + '<escape>' -}}
|
| 108 |
+
{%- else -%}
|
| 109 |
+
{{- key -}}
|
| 110 |
+
{%- endif -%}
|
| 111 |
+
:{{- format_argument(value, escape_keys=escape_keys) -}}
|
| 112 |
+
{%- endfor -%}
|
| 113 |
+
{{- '}' -}}
|
| 114 |
+
{%- elif argument is sequence -%}
|
| 115 |
+
{{- '[' -}}
|
| 116 |
+
{%- for item in argument -%}
|
| 117 |
+
{{- format_argument(item, escape_keys=escape_keys) -}}
|
| 118 |
+
{%- if not loop.last %},{% endif -%}
|
| 119 |
+
{%- endfor -%}
|
| 120 |
+
{{- ']' -}}
|
| 121 |
+
{%- else -%}
|
| 122 |
+
{{- argument -}}
|
| 123 |
+
{%- endif -%}
|
| 124 |
+
{%- endmacro -%}
|
| 125 |
+
{{ bos_token }}
|
| 126 |
+
{%- set ns = namespace(prev_message_type=None) -%}
|
| 127 |
+
{#- Tool Declarations -#}
|
| 128 |
+
{%- set loop_messages = messages -%}
|
| 129 |
+
{%- if tools or messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 130 |
+
{{- '<start_of_turn>developer\n' -}}
|
| 131 |
+
{%- if messages[0]['role'] == 'system' or messages[0]['role'] == 'developer' -%}
|
| 132 |
+
{%- if messages[0]['content'] is string -%}
|
| 133 |
+
{{- messages[0]['content'] | trim -}}
|
| 134 |
+
{%- elif messages[0]['content'] is sequence -%}
|
| 135 |
+
{%- for item in messages[0]['content'] -%}
|
| 136 |
+
{%- if item['type'] == 'text' -%}
|
| 137 |
+
{{- item['text'] | trim -}}
|
| 138 |
+
{%- endif -%}
|
| 139 |
+
{%- endfor -%}
|
| 140 |
+
{%- endif -%}
|
| 141 |
+
{%- set loop_messages = messages[1:] -%}
|
| 142 |
+
{%- else -%}
|
| 143 |
+
{{- 'You are a model that can do function calling with the following functions' -}}
|
| 144 |
+
{%- set loop_messages = messages -%}
|
| 145 |
+
{%- endif -%}
|
| 146 |
+
{%- if tools -%}
|
| 147 |
+
{%- for tool in tools %}
|
| 148 |
+
{{- '<start_function_declaration>' -}}
|
| 149 |
+
{{- format_function_declaration(tool) | trim }}
|
| 150 |
+
{{- '<end_function_declaration>' -}}
|
| 151 |
+
{%- endfor %}
|
| 152 |
+
{%- endif -%}
|
| 153 |
+
{{- '<end_of_turn>\n' }}
|
| 154 |
+
{%- endif %}
|
| 155 |
+
{#- Loop through messages. -#}
|
| 156 |
+
{%- for message in loop_messages -%}
|
| 157 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 158 |
+
{#- Rename "assistant" to "model". -#}
|
| 159 |
+
{%- set role = "model" -%}
|
| 160 |
+
{%- else -%}
|
| 161 |
+
{%- set role = message['role'] -%}
|
| 162 |
+
{%- endif -%}
|
| 163 |
+
{%- if role != 'tool' -%}
|
| 164 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 165 |
+
{{- '<start_of_turn>' + role + '\n' }}
|
| 166 |
+
{%- endif -%}
|
| 167 |
+
{%- set ns.prev_message_type = None -%}
|
| 168 |
+
{%- if 'content' in message and message['content'] is not none -%}
|
| 169 |
+
{%- if message['content'] is string -%}
|
| 170 |
+
{{ message['content'] | trim }}
|
| 171 |
+
{%- elif message['content'] is sequence -%}
|
| 172 |
+
{%- for item in message['content'] -%}
|
| 173 |
+
{%- if item['type'] == 'image' -%}
|
| 174 |
+
{{ '<start_of_image>' }}
|
| 175 |
+
{%- elif item['type'] == 'text' -%}
|
| 176 |
+
{{ item['text'] | trim }}
|
| 177 |
+
{%- endif -%}
|
| 178 |
+
{%- endfor -%}
|
| 179 |
+
{%- else -%}
|
| 180 |
+
{{ raise_exception("Invalid content type in user/assistant message") }}
|
| 181 |
+
{%- endif -%}
|
| 182 |
+
{%- set ns.prev_message_type = 'content' -%}
|
| 183 |
+
{%- endif -%}
|
| 184 |
+
{%- if 'tool_calls' in message and message['tool_calls'] and message['tool_calls'] is iterable -%}
|
| 185 |
+
{#- Tool Calls -#}
|
| 186 |
+
{%- for tool_call in message['tool_calls'] -%}
|
| 187 |
+
{% set function = tool_call['function'] %}
|
| 188 |
+
{{- '<start_function_call>call:' + function['name'] + '{' -}}
|
| 189 |
+
{%- if 'arguments' in function -%}
|
| 190 |
+
{%- if function['arguments'] is mapping -%}
|
| 191 |
+
{%- set ns = namespace(found_first=false) -%}
|
| 192 |
+
{%- for key, value in function['arguments'] | dictsort -%}
|
| 193 |
+
{%- if ns.found_first %},{% endif -%}
|
| 194 |
+
{%- set ns.found_first = true -%}
|
| 195 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 196 |
+
{%- endfor -%}
|
| 197 |
+
{%- elif function['arguments'] is string -%}
|
| 198 |
+
{# This handles string-JSON, just in case #}
|
| 199 |
+
{{ function['arguments'] }}
|
| 200 |
+
{%- endif %}
|
| 201 |
+
{%- endif -%}
|
| 202 |
+
{{- '}<end_function_call>' -}}
|
| 203 |
+
{%- endfor -%}
|
| 204 |
+
{%- if loop.last -%}
|
| 205 |
+
{{ '<start_function_response>' }}
|
| 206 |
+
{%- endif -%}
|
| 207 |
+
{%- set ns.prev_message_type = 'tool_call' -%}
|
| 208 |
+
{%- endif -%}
|
| 209 |
+
{%- else -%}
|
| 210 |
+
{#- Tool Responses -#}
|
| 211 |
+
{%- if 'content' in message and message['content'] -%}
|
| 212 |
+
{%- if message['content'] is mapping -%}
|
| 213 |
+
{%- if 'name' in message['content'] and 'response' in message['content'] -%}
|
| 214 |
+
{{ '<start_function_response>response:' + message['content']['name'] | trim + '{' }}
|
| 215 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 216 |
+
{%- for key, value in message['content']['response'] | dictsort -%}
|
| 217 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 218 |
+
{%- set response_ns.found_first = true -%}
|
| 219 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 220 |
+
{%- endfor -%}
|
| 221 |
+
{{- '}<end_function_response>' -}}
|
| 222 |
+
{%- elif 'name' in message -%}
|
| 223 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 224 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 225 |
+
{%- for key, value in message['content'] | dictsort -%}
|
| 226 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 227 |
+
{%- set response_ns.found_first = true -%}
|
| 228 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 229 |
+
{%- endfor -%}
|
| 230 |
+
{{- '}<end_function_response>' -}}
|
| 231 |
+
{%- else -%}
|
| 232 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 233 |
+
{%- endif -%}
|
| 234 |
+
{%- elif message['content'] is string -%}
|
| 235 |
+
{%- if 'name' in message -%}
|
| 236 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{value:' + format_argument(message['content'], escape_keys=False) + '}<end_function_response>' }}
|
| 237 |
+
{%- else -%}
|
| 238 |
+
{{ raise_exception("Invalid tool response: 'name' must be provided.") }}
|
| 239 |
+
{%- endif -%}
|
| 240 |
+
{%- elif message['content'] is sequence -%}
|
| 241 |
+
{%- for item in message['content'] -%}
|
| 242 |
+
{%- if item is mapping -%}
|
| 243 |
+
{%- if 'name' in item and 'response' in item -%}
|
| 244 |
+
{{ '<start_function_response>response:' + item['name'] | trim + '{' }}
|
| 245 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 246 |
+
{%- for key, value in item['response'] | dictsort -%}
|
| 247 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 248 |
+
{%- set response_ns.found_first = true -%}
|
| 249 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 250 |
+
{%- endfor -%}
|
| 251 |
+
{{- '}<end_function_response>' -}}
|
| 252 |
+
{%- elif 'name' in message -%}
|
| 253 |
+
{{ '<start_function_response>response:' + message['name'] | trim + '{' }}
|
| 254 |
+
{%- set response_ns = namespace(found_first=false) -%}
|
| 255 |
+
{%- for key, value in item | dictsort -%}
|
| 256 |
+
{%- if response_ns.found_first %},{% endif -%}
|
| 257 |
+
{%- set response_ns.found_first = true -%}
|
| 258 |
+
{{- key -}}:{{- format_argument(value, escape_keys=False) -}}
|
| 259 |
+
{%- endfor -%}
|
| 260 |
+
{{- '}<end_function_response>' -}}
|
| 261 |
+
{%- else -%}
|
| 262 |
+
{{ raise_exception("Invalid tool response mapping: must contain 'name' and 'response' keys, or 'name' must be in the message.") }}
|
| 263 |
+
{%- endif -%}
|
| 264 |
+
{%- else -%}
|
| 265 |
+
{{ raise_exception("Invalid tool response message: multiple responses must all be mappings") }}
|
| 266 |
+
{%- endif -%}
|
| 267 |
+
{%- endfor -%}
|
| 268 |
+
{%- else -%}
|
| 269 |
+
{{ raise_exception("Invalid content type in tool message: must be mapping, sequence of mappings, or string.") }}
|
| 270 |
+
{%- endif -%}
|
| 271 |
+
{%- endif -%}
|
| 272 |
+
{%- set ns.prev_message_type = 'tool_response' -%}
|
| 273 |
+
{%- endif -%}
|
| 274 |
+
{%- if ns.prev_message_type not in ['tool_call', 'tool_response'] -%}
|
| 275 |
+
{{ '<end_of_turn>\n' }}
|
| 276 |
+
{%- endif -%}
|
| 277 |
+
{%- endfor -%}
|
| 278 |
+
{%- if add_generation_prompt -%}
|
| 279 |
+
{%- if ns.prev_message_type != 'tool_response' -%}
|
| 280 |
+
{{- '<start_of_turn>model\n' -}}
|
| 281 |
+
{%- endif -%}
|
| 282 |
+
{%- endif -%}
|
checkpoint-1100/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dcbc3235ecf9adc47a1cd14cefc2f03e87bcb237ac474db8b3f600fcc811cd54
|
| 3 |
+
size 121708939
|
checkpoint-1100/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eb03eac9b58e52273c3aa5727841719fd6c82afc9062bbaf8eb6f842de779278
|
| 3 |
+
size 14391
|
checkpoint-1100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08c9ae0af668f7241f64d293f2b41e3dfe0e41af6f89f5b50e74617068844c5e
|
| 3 |
+
size 1465
|
checkpoint-1100/special_tokens_map.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"boi_token": "<start_of_image>",
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"content": "<bos>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
"eoi_token": "<end_of_image>",
|
| 11 |
+
"eos_token": {
|
| 12 |
+
"content": "<end_of_turn>",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false
|
| 17 |
+
},
|
| 18 |
+
"image_token": "<image_soft_token>",
|
| 19 |
+
"pad_token": {
|
| 20 |
+
"content": "<pad>",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false
|
| 25 |
+
},
|
| 26 |
+
"sfr_token": "<start_function_response>",
|
| 27 |
+
"unk_token": {
|
| 28 |
+
"content": "<unk>",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false
|
| 33 |
+
}
|
| 34 |
+
}
|
checkpoint-1100/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b6b09a0b4a803ad453063ca4bb49a784540e8120004e2450e025df2b27d41fb2
|
| 3 |
+
size 33384899
|
checkpoint-1100/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aa009fcbc3589a9904d30d04834094fea4653c2ac6d2de2cd1262d4f7a50ceb3
|
| 3 |
+
size 4689144
|
checkpoint-1100/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1100/trainer_state.json
ADDED
|
@@ -0,0 +1,1574 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.9611183923110529,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1100,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.00436871996505024,
|
| 14 |
+
"grad_norm": 9.839941024780273,
|
| 15 |
+
"learning_rate": 8e-05,
|
| 16 |
+
"loss": 2.5246,
|
| 17 |
+
"step": 5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.00873743993010048,
|
| 21 |
+
"grad_norm": 13.773455619812012,
|
| 22 |
+
"learning_rate": 0.00018,
|
| 23 |
+
"loss": 1.1343,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.01310615989515072,
|
| 28 |
+
"grad_norm": 5.6580424308776855,
|
| 29 |
+
"learning_rate": 0.0001999997582552296,
|
| 30 |
+
"loss": 0.7712,
|
| 31 |
+
"step": 15
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.01747487986020096,
|
| 35 |
+
"grad_norm": 5.294467926025391,
|
| 36 |
+
"learning_rate": 0.0001999987761691029,
|
| 37 |
+
"loss": 0.73,
|
| 38 |
+
"step": 20
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.021843599825251202,
|
| 42 |
+
"grad_norm": 2.8633503913879395,
|
| 43 |
+
"learning_rate": 0.00019999703863998527,
|
| 44 |
+
"loss": 0.7289,
|
| 45 |
+
"step": 25
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.02621231979030144,
|
| 49 |
+
"grad_norm": 3.2836177349090576,
|
| 50 |
+
"learning_rate": 0.00019999454568100293,
|
| 51 |
+
"loss": 0.4686,
|
| 52 |
+
"step": 30
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.03058103975535168,
|
| 56 |
+
"grad_norm": 4.878258228302002,
|
| 57 |
+
"learning_rate": 0.00019999129731098898,
|
| 58 |
+
"loss": 0.6629,
|
| 59 |
+
"step": 35
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.03494975972040192,
|
| 63 |
+
"grad_norm": 2.899914026260376,
|
| 64 |
+
"learning_rate": 0.00019998729355448326,
|
| 65 |
+
"loss": 0.6038,
|
| 66 |
+
"step": 40
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.039318479685452164,
|
| 70 |
+
"grad_norm": 3.289844274520874,
|
| 71 |
+
"learning_rate": 0.00019998253444173235,
|
| 72 |
+
"loss": 0.4573,
|
| 73 |
+
"step": 45
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.043687199650502405,
|
| 77 |
+
"grad_norm": 2.957254648208618,
|
| 78 |
+
"learning_rate": 0.00019997702000868896,
|
| 79 |
+
"loss": 0.594,
|
| 80 |
+
"step": 50
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.048055919615552646,
|
| 84 |
+
"grad_norm": 3.171276807785034,
|
| 85 |
+
"learning_rate": 0.00019997075029701207,
|
| 86 |
+
"loss": 0.5719,
|
| 87 |
+
"step": 55
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.05242463958060288,
|
| 91 |
+
"grad_norm": 2.55605149269104,
|
| 92 |
+
"learning_rate": 0.0001999637253540663,
|
| 93 |
+
"loss": 0.5971,
|
| 94 |
+
"step": 60
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.05679335954565312,
|
| 98 |
+
"grad_norm": 2.127289295196533,
|
| 99 |
+
"learning_rate": 0.00019995594523292178,
|
| 100 |
+
"loss": 0.5712,
|
| 101 |
+
"step": 65
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.06116207951070336,
|
| 105 |
+
"grad_norm": 3.3928685188293457,
|
| 106 |
+
"learning_rate": 0.00019994740999235359,
|
| 107 |
+
"loss": 0.5712,
|
| 108 |
+
"step": 70
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.0655307994757536,
|
| 112 |
+
"grad_norm": 2.6700279712677,
|
| 113 |
+
"learning_rate": 0.00019993811969684142,
|
| 114 |
+
"loss": 0.427,
|
| 115 |
+
"step": 75
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.06989951944080385,
|
| 119 |
+
"grad_norm": 2.6936633586883545,
|
| 120 |
+
"learning_rate": 0.00019992807441656898,
|
| 121 |
+
"loss": 0.5321,
|
| 122 |
+
"step": 80
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.07426823940585409,
|
| 126 |
+
"grad_norm": 3.9897687435150146,
|
| 127 |
+
"learning_rate": 0.00019991727422742362,
|
| 128 |
+
"loss": 0.6025,
|
| 129 |
+
"step": 85
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.07863695937090433,
|
| 133 |
+
"grad_norm": 2.3496663570404053,
|
| 134 |
+
"learning_rate": 0.00019990571921099553,
|
| 135 |
+
"loss": 0.5975,
|
| 136 |
+
"step": 90
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.08300567933595457,
|
| 140 |
+
"grad_norm": 3.3796467781066895,
|
| 141 |
+
"learning_rate": 0.0001998934094545774,
|
| 142 |
+
"loss": 0.5255,
|
| 143 |
+
"step": 95
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.08737439930100481,
|
| 147 |
+
"grad_norm": 3.1103007793426514,
|
| 148 |
+
"learning_rate": 0.00019988034505116352,
|
| 149 |
+
"loss": 0.4946,
|
| 150 |
+
"step": 100
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.09174311926605505,
|
| 154 |
+
"grad_norm": 2.002304792404175,
|
| 155 |
+
"learning_rate": 0.00019986652609944926,
|
| 156 |
+
"loss": 0.425,
|
| 157 |
+
"step": 105
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.09611183923110529,
|
| 161 |
+
"grad_norm": 1.7572168111801147,
|
| 162 |
+
"learning_rate": 0.00019985195270383018,
|
| 163 |
+
"loss": 0.6073,
|
| 164 |
+
"step": 110
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.10048055919615553,
|
| 168 |
+
"grad_norm": 2.745215654373169,
|
| 169 |
+
"learning_rate": 0.00019983662497440133,
|
| 170 |
+
"loss": 0.586,
|
| 171 |
+
"step": 115
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.10484927916120576,
|
| 175 |
+
"grad_norm": 1.8170915842056274,
|
| 176 |
+
"learning_rate": 0.0001998205430269564,
|
| 177 |
+
"loss": 0.5255,
|
| 178 |
+
"step": 120
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.109217999126256,
|
| 182 |
+
"grad_norm": 1.4944056272506714,
|
| 183 |
+
"learning_rate": 0.00019980370698298677,
|
| 184 |
+
"loss": 0.4219,
|
| 185 |
+
"step": 125
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.11358671909130624,
|
| 189 |
+
"grad_norm": 1.6616989374160767,
|
| 190 |
+
"learning_rate": 0.00019978611696968074,
|
| 191 |
+
"loss": 0.4231,
|
| 192 |
+
"step": 130
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.11795543905635648,
|
| 196 |
+
"grad_norm": 2.0523645877838135,
|
| 197 |
+
"learning_rate": 0.00019976777311992247,
|
| 198 |
+
"loss": 0.5298,
|
| 199 |
+
"step": 135
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.12232415902140673,
|
| 203 |
+
"grad_norm": 2.065765619277954,
|
| 204 |
+
"learning_rate": 0.00019974867557229098,
|
| 205 |
+
"loss": 0.5228,
|
| 206 |
+
"step": 140
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.12669287898645698,
|
| 210 |
+
"grad_norm": 1.7283438444137573,
|
| 211 |
+
"learning_rate": 0.00019972882447105912,
|
| 212 |
+
"loss": 0.3452,
|
| 213 |
+
"step": 145
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.1310615989515072,
|
| 217 |
+
"grad_norm": 2.655750274658203,
|
| 218 |
+
"learning_rate": 0.00019970821996619244,
|
| 219 |
+
"loss": 0.508,
|
| 220 |
+
"step": 150
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.13543031891655744,
|
| 224 |
+
"grad_norm": 2.67799973487854,
|
| 225 |
+
"learning_rate": 0.0001996868622133482,
|
| 226 |
+
"loss": 0.4359,
|
| 227 |
+
"step": 155
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.1397990388816077,
|
| 231 |
+
"grad_norm": 1.6298809051513672,
|
| 232 |
+
"learning_rate": 0.00019966475137387396,
|
| 233 |
+
"loss": 0.5447,
|
| 234 |
+
"step": 160
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.14416775884665792,
|
| 238 |
+
"grad_norm": 1.4772286415100098,
|
| 239 |
+
"learning_rate": 0.00019964188761480657,
|
| 240 |
+
"loss": 0.4105,
|
| 241 |
+
"step": 165
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.14853647881170817,
|
| 245 |
+
"grad_norm": 2.2986271381378174,
|
| 246 |
+
"learning_rate": 0.00019961827110887083,
|
| 247 |
+
"loss": 0.603,
|
| 248 |
+
"step": 170
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.1529051987767584,
|
| 252 |
+
"grad_norm": 2.8261911869049072,
|
| 253 |
+
"learning_rate": 0.00019959390203447817,
|
| 254 |
+
"loss": 0.4649,
|
| 255 |
+
"step": 175
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.15727391874180865,
|
| 259 |
+
"grad_norm": 1.7771011590957642,
|
| 260 |
+
"learning_rate": 0.00019956878057572524,
|
| 261 |
+
"loss": 0.4394,
|
| 262 |
+
"step": 180
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.16164263870685888,
|
| 266 |
+
"grad_norm": 1.7315421104431152,
|
| 267 |
+
"learning_rate": 0.00019954290692239274,
|
| 268 |
+
"loss": 0.5289,
|
| 269 |
+
"step": 185
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.16601135867190914,
|
| 273 |
+
"grad_norm": 1.6124423742294312,
|
| 274 |
+
"learning_rate": 0.00019951628126994373,
|
| 275 |
+
"loss": 0.4173,
|
| 276 |
+
"step": 190
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.17038007863695936,
|
| 280 |
+
"grad_norm": 1.792577862739563,
|
| 281 |
+
"learning_rate": 0.00019948890381952232,
|
| 282 |
+
"loss": 0.4331,
|
| 283 |
+
"step": 195
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.17474879860200962,
|
| 287 |
+
"grad_norm": 1.9038774967193604,
|
| 288 |
+
"learning_rate": 0.000199460774777952,
|
| 289 |
+
"loss": 0.4247,
|
| 290 |
+
"step": 200
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.17911751856705985,
|
| 294 |
+
"grad_norm": 2.457122802734375,
|
| 295 |
+
"learning_rate": 0.00019943189435773432,
|
| 296 |
+
"loss": 0.4519,
|
| 297 |
+
"step": 205
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.1834862385321101,
|
| 301 |
+
"grad_norm": 1.97683584690094,
|
| 302 |
+
"learning_rate": 0.00019940226277704706,
|
| 303 |
+
"loss": 0.4761,
|
| 304 |
+
"step": 210
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.18785495849716033,
|
| 308 |
+
"grad_norm": 2.1646862030029297,
|
| 309 |
+
"learning_rate": 0.0001993718802597426,
|
| 310 |
+
"loss": 0.5294,
|
| 311 |
+
"step": 215
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.19222367846221058,
|
| 315 |
+
"grad_norm": 1.565412998199463,
|
| 316 |
+
"learning_rate": 0.00019934074703534637,
|
| 317 |
+
"loss": 0.3999,
|
| 318 |
+
"step": 220
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.1965923984272608,
|
| 322 |
+
"grad_norm": 2.4315876960754395,
|
| 323 |
+
"learning_rate": 0.00019930886333905504,
|
| 324 |
+
"loss": 0.378,
|
| 325 |
+
"step": 225
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.20096111839231107,
|
| 329 |
+
"grad_norm": 2.7567529678344727,
|
| 330 |
+
"learning_rate": 0.00019927622941173467,
|
| 331 |
+
"loss": 0.5075,
|
| 332 |
+
"step": 230
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.2053298383573613,
|
| 336 |
+
"grad_norm": 1.8640387058258057,
|
| 337 |
+
"learning_rate": 0.00019924284549991902,
|
| 338 |
+
"loss": 0.4749,
|
| 339 |
+
"step": 235
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.20969855832241152,
|
| 343 |
+
"grad_norm": 2.090924024581909,
|
| 344 |
+
"learning_rate": 0.00019920871185580757,
|
| 345 |
+
"loss": 0.4353,
|
| 346 |
+
"step": 240
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.21406727828746178,
|
| 350 |
+
"grad_norm": 1.9691081047058105,
|
| 351 |
+
"learning_rate": 0.00019917382873726376,
|
| 352 |
+
"loss": 0.4051,
|
| 353 |
+
"step": 245
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.218435998252512,
|
| 357 |
+
"grad_norm": 1.8130213022232056,
|
| 358 |
+
"learning_rate": 0.0001991381964078128,
|
| 359 |
+
"loss": 0.526,
|
| 360 |
+
"step": 250
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.22280471821756226,
|
| 364 |
+
"grad_norm": 2.078805923461914,
|
| 365 |
+
"learning_rate": 0.00019910181513664,
|
| 366 |
+
"loss": 0.5654,
|
| 367 |
+
"step": 255
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.22717343818261249,
|
| 371 |
+
"grad_norm": 2.0686287879943848,
|
| 372 |
+
"learning_rate": 0.0001990646851985884,
|
| 373 |
+
"loss": 0.43,
|
| 374 |
+
"step": 260
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.23154215814766274,
|
| 378 |
+
"grad_norm": 1.475821614265442,
|
| 379 |
+
"learning_rate": 0.00019902680687415705,
|
| 380 |
+
"loss": 0.355,
|
| 381 |
+
"step": 265
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.23591087811271297,
|
| 385 |
+
"grad_norm": 1.901236891746521,
|
| 386 |
+
"learning_rate": 0.0001989881804494985,
|
| 387 |
+
"loss": 0.4522,
|
| 388 |
+
"step": 270
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.24027959807776322,
|
| 392 |
+
"grad_norm": 1.2583553791046143,
|
| 393 |
+
"learning_rate": 0.00019894880621641704,
|
| 394 |
+
"loss": 0.3869,
|
| 395 |
+
"step": 275
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.24464831804281345,
|
| 399 |
+
"grad_norm": 1.712336540222168,
|
| 400 |
+
"learning_rate": 0.00019890868447236613,
|
| 401 |
+
"loss": 0.454,
|
| 402 |
+
"step": 280
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.2490170380078637,
|
| 406 |
+
"grad_norm": 2.3967206478118896,
|
| 407 |
+
"learning_rate": 0.00019886781552044634,
|
| 408 |
+
"loss": 0.4074,
|
| 409 |
+
"step": 285
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.25338575797291396,
|
| 413 |
+
"grad_norm": 2.0578925609588623,
|
| 414 |
+
"learning_rate": 0.0001988261996694032,
|
| 415 |
+
"loss": 0.4268,
|
| 416 |
+
"step": 290
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.2577544779379642,
|
| 420 |
+
"grad_norm": 1.7411088943481445,
|
| 421 |
+
"learning_rate": 0.0001987838372336245,
|
| 422 |
+
"loss": 0.334,
|
| 423 |
+
"step": 295
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.2621231979030144,
|
| 427 |
+
"grad_norm": 1.8145533800125122,
|
| 428 |
+
"learning_rate": 0.0001987407285331382,
|
| 429 |
+
"loss": 0.4019,
|
| 430 |
+
"step": 300
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.26649191786806464,
|
| 434 |
+
"grad_norm": 1.3501653671264648,
|
| 435 |
+
"learning_rate": 0.00019869687389361,
|
| 436 |
+
"loss": 0.32,
|
| 437 |
+
"step": 305
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.27086063783311487,
|
| 441 |
+
"grad_norm": 1.208422303199768,
|
| 442 |
+
"learning_rate": 0.00019865227364634073,
|
| 443 |
+
"loss": 0.4548,
|
| 444 |
+
"step": 310
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.27522935779816515,
|
| 448 |
+
"grad_norm": 1.521690011024475,
|
| 449 |
+
"learning_rate": 0.00019860692812826396,
|
| 450 |
+
"loss": 0.3572,
|
| 451 |
+
"step": 315
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.2795980777632154,
|
| 455 |
+
"grad_norm": 2.2849714756011963,
|
| 456 |
+
"learning_rate": 0.0001985608376819434,
|
| 457 |
+
"loss": 0.4555,
|
| 458 |
+
"step": 320
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.2839667977282656,
|
| 462 |
+
"grad_norm": 2.7733798027038574,
|
| 463 |
+
"learning_rate": 0.00019851400265557037,
|
| 464 |
+
"loss": 0.4726,
|
| 465 |
+
"step": 325
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.28833551769331583,
|
| 469 |
+
"grad_norm": 1.973522424697876,
|
| 470 |
+
"learning_rate": 0.00019846642340296114,
|
| 471 |
+
"loss": 0.4585,
|
| 472 |
+
"step": 330
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.2927042376583661,
|
| 476 |
+
"grad_norm": 1.7133642435073853,
|
| 477 |
+
"learning_rate": 0.0001984181002835542,
|
| 478 |
+
"loss": 0.4679,
|
| 479 |
+
"step": 335
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.29707295762341634,
|
| 483 |
+
"grad_norm": 2.8383235931396484,
|
| 484 |
+
"learning_rate": 0.00019836903366240768,
|
| 485 |
+
"loss": 0.4119,
|
| 486 |
+
"step": 340
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.30144167758846657,
|
| 490 |
+
"grad_norm": 2.798276901245117,
|
| 491 |
+
"learning_rate": 0.00019831922391019645,
|
| 492 |
+
"loss": 0.3665,
|
| 493 |
+
"step": 345
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.3058103975535168,
|
| 497 |
+
"grad_norm": 2.171276569366455,
|
| 498 |
+
"learning_rate": 0.00019826867140320938,
|
| 499 |
+
"loss": 0.5691,
|
| 500 |
+
"step": 350
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.3101791175185671,
|
| 504 |
+
"grad_norm": 2.0866177082061768,
|
| 505 |
+
"learning_rate": 0.00019821737652334653,
|
| 506 |
+
"loss": 0.4074,
|
| 507 |
+
"step": 355
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.3145478374836173,
|
| 511 |
+
"grad_norm": 1.3713918924331665,
|
| 512 |
+
"learning_rate": 0.0001981653396581162,
|
| 513 |
+
"loss": 0.3379,
|
| 514 |
+
"step": 360
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.31891655744866754,
|
| 518 |
+
"grad_norm": 1.6086684465408325,
|
| 519 |
+
"learning_rate": 0.0001981125612006321,
|
| 520 |
+
"loss": 0.3563,
|
| 521 |
+
"step": 365
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.32328527741371776,
|
| 525 |
+
"grad_norm": 2.655686378479004,
|
| 526 |
+
"learning_rate": 0.0001980590415496102,
|
| 527 |
+
"loss": 0.3988,
|
| 528 |
+
"step": 370
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.32765399737876805,
|
| 532 |
+
"grad_norm": 1.5271559953689575,
|
| 533 |
+
"learning_rate": 0.00019800478110936596,
|
| 534 |
+
"loss": 0.5784,
|
| 535 |
+
"step": 375
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.3320227173438183,
|
| 539 |
+
"grad_norm": 1.3043195009231567,
|
| 540 |
+
"learning_rate": 0.00019794978028981106,
|
| 541 |
+
"loss": 0.2637,
|
| 542 |
+
"step": 380
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.3363914373088685,
|
| 546 |
+
"grad_norm": 2.539109706878662,
|
| 547 |
+
"learning_rate": 0.0001978940395064504,
|
| 548 |
+
"loss": 0.4658,
|
| 549 |
+
"step": 385
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.34076015727391873,
|
| 553 |
+
"grad_norm": 1.7521268129348755,
|
| 554 |
+
"learning_rate": 0.00019783755918037903,
|
| 555 |
+
"loss": 0.4253,
|
| 556 |
+
"step": 390
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.34512887723896896,
|
| 560 |
+
"grad_norm": 1.5679692029953003,
|
| 561 |
+
"learning_rate": 0.00019778033973827882,
|
| 562 |
+
"loss": 0.4528,
|
| 563 |
+
"step": 395
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.34949759720401924,
|
| 567 |
+
"grad_norm": 1.670640468597412,
|
| 568 |
+
"learning_rate": 0.00019772238161241528,
|
| 569 |
+
"loss": 0.3724,
|
| 570 |
+
"step": 400
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.35386631716906947,
|
| 574 |
+
"grad_norm": 1.520856261253357,
|
| 575 |
+
"learning_rate": 0.00019766368524063438,
|
| 576 |
+
"loss": 0.4141,
|
| 577 |
+
"step": 405
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.3582350371341197,
|
| 581 |
+
"grad_norm": 1.0802158117294312,
|
| 582 |
+
"learning_rate": 0.00019760425106635926,
|
| 583 |
+
"loss": 0.3268,
|
| 584 |
+
"step": 410
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.3626037570991699,
|
| 588 |
+
"grad_norm": 1.7306379079818726,
|
| 589 |
+
"learning_rate": 0.0001975440795385866,
|
| 590 |
+
"loss": 0.3654,
|
| 591 |
+
"step": 415
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.3669724770642202,
|
| 595 |
+
"grad_norm": 1.5037274360656738,
|
| 596 |
+
"learning_rate": 0.0001974831711118836,
|
| 597 |
+
"loss": 0.4285,
|
| 598 |
+
"step": 420
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.37134119702927043,
|
| 602 |
+
"grad_norm": 1.4654844999313354,
|
| 603 |
+
"learning_rate": 0.00019742152624638437,
|
| 604 |
+
"loss": 0.2548,
|
| 605 |
+
"step": 425
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.37570991699432066,
|
| 609 |
+
"grad_norm": 2.6770753860473633,
|
| 610 |
+
"learning_rate": 0.00019735914540778638,
|
| 611 |
+
"loss": 0.4238,
|
| 612 |
+
"step": 430
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.3800786369593709,
|
| 616 |
+
"grad_norm": 1.1864055395126343,
|
| 617 |
+
"learning_rate": 0.00019729602906734704,
|
| 618 |
+
"loss": 0.3959,
|
| 619 |
+
"step": 435
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.38444735692442117,
|
| 623 |
+
"grad_norm": 1.904876708984375,
|
| 624 |
+
"learning_rate": 0.00019723217770188024,
|
| 625 |
+
"loss": 0.3603,
|
| 626 |
+
"step": 440
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.3888160768894714,
|
| 630 |
+
"grad_norm": 1.7086598873138428,
|
| 631 |
+
"learning_rate": 0.0001971675917937525,
|
| 632 |
+
"loss": 0.551,
|
| 633 |
+
"step": 445
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.3931847968545216,
|
| 637 |
+
"grad_norm": 1.4635995626449585,
|
| 638 |
+
"learning_rate": 0.00019710227183087947,
|
| 639 |
+
"loss": 0.3738,
|
| 640 |
+
"step": 450
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.39755351681957185,
|
| 644 |
+
"grad_norm": 1.6047295331954956,
|
| 645 |
+
"learning_rate": 0.00019703621830672238,
|
| 646 |
+
"loss": 0.475,
|
| 647 |
+
"step": 455
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.40192223678462213,
|
| 651 |
+
"grad_norm": 1.4741933345794678,
|
| 652 |
+
"learning_rate": 0.00019696943172028394,
|
| 653 |
+
"loss": 0.4021,
|
| 654 |
+
"step": 460
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.40629095674967236,
|
| 658 |
+
"grad_norm": 2.8138020038604736,
|
| 659 |
+
"learning_rate": 0.00019690191257610497,
|
| 660 |
+
"loss": 0.3665,
|
| 661 |
+
"step": 465
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.4106596767147226,
|
| 665 |
+
"grad_norm": 1.6264874935150146,
|
| 666 |
+
"learning_rate": 0.00019683366138426034,
|
| 667 |
+
"loss": 0.3598,
|
| 668 |
+
"step": 470
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.4150283966797728,
|
| 672 |
+
"grad_norm": 1.6185061931610107,
|
| 673 |
+
"learning_rate": 0.00019676467866035525,
|
| 674 |
+
"loss": 0.5003,
|
| 675 |
+
"step": 475
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.41939711664482304,
|
| 679 |
+
"grad_norm": 1.8654040098190308,
|
| 680 |
+
"learning_rate": 0.00019669496492552113,
|
| 681 |
+
"loss": 0.397,
|
| 682 |
+
"step": 480
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.4237658366098733,
|
| 686 |
+
"grad_norm": 1.2525237798690796,
|
| 687 |
+
"learning_rate": 0.00019662452070641205,
|
| 688 |
+
"loss": 0.3235,
|
| 689 |
+
"step": 485
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.42813455657492355,
|
| 693 |
+
"grad_norm": 1.7755401134490967,
|
| 694 |
+
"learning_rate": 0.00019655334653520036,
|
| 695 |
+
"loss": 0.2978,
|
| 696 |
+
"step": 490
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.4325032765399738,
|
| 700 |
+
"grad_norm": 1.6025470495224,
|
| 701 |
+
"learning_rate": 0.00019648144294957297,
|
| 702 |
+
"loss": 0.4436,
|
| 703 |
+
"step": 495
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.436871996505024,
|
| 707 |
+
"grad_norm": 1.085461974143982,
|
| 708 |
+
"learning_rate": 0.00019640881049272713,
|
| 709 |
+
"loss": 0.22,
|
| 710 |
+
"step": 500
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.4412407164700743,
|
| 714 |
+
"grad_norm": 1.491818904876709,
|
| 715 |
+
"learning_rate": 0.00019633544971336636,
|
| 716 |
+
"loss": 0.2714,
|
| 717 |
+
"step": 505
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.4456094364351245,
|
| 721 |
+
"grad_norm": 0.9479840993881226,
|
| 722 |
+
"learning_rate": 0.0001962613611656963,
|
| 723 |
+
"loss": 0.3735,
|
| 724 |
+
"step": 510
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.44997815640017474,
|
| 728 |
+
"grad_norm": 3.0529448986053467,
|
| 729 |
+
"learning_rate": 0.0001961865454094205,
|
| 730 |
+
"loss": 0.4779,
|
| 731 |
+
"step": 515
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.45434687636522497,
|
| 735 |
+
"grad_norm": 2.831089973449707,
|
| 736 |
+
"learning_rate": 0.00019611100300973635,
|
| 737 |
+
"loss": 0.469,
|
| 738 |
+
"step": 520
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.45871559633027525,
|
| 742 |
+
"grad_norm": 2.1834311485290527,
|
| 743 |
+
"learning_rate": 0.00019603473453733052,
|
| 744 |
+
"loss": 0.4163,
|
| 745 |
+
"step": 525
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.4630843162953255,
|
| 749 |
+
"grad_norm": 1.3152204751968384,
|
| 750 |
+
"learning_rate": 0.00019595774056837493,
|
| 751 |
+
"loss": 0.3744,
|
| 752 |
+
"step": 530
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.4674530362603757,
|
| 756 |
+
"grad_norm": 1.4493387937545776,
|
| 757 |
+
"learning_rate": 0.00019588002168452223,
|
| 758 |
+
"loss": 0.3117,
|
| 759 |
+
"step": 535
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.47182175622542594,
|
| 763 |
+
"grad_norm": 1.1412076950073242,
|
| 764 |
+
"learning_rate": 0.00019580157847290147,
|
| 765 |
+
"loss": 0.3152,
|
| 766 |
+
"step": 540
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.47619047619047616,
|
| 770 |
+
"grad_norm": 1.5004645586013794,
|
| 771 |
+
"learning_rate": 0.00019572241152611365,
|
| 772 |
+
"loss": 0.3271,
|
| 773 |
+
"step": 545
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.48055919615552645,
|
| 777 |
+
"grad_norm": 2.3333992958068848,
|
| 778 |
+
"learning_rate": 0.0001956425214422272,
|
| 779 |
+
"loss": 0.3626,
|
| 780 |
+
"step": 550
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.4849279161205767,
|
| 784 |
+
"grad_norm": 1.5423107147216797,
|
| 785 |
+
"learning_rate": 0.0001955619088247736,
|
| 786 |
+
"loss": 0.4588,
|
| 787 |
+
"step": 555
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.4892966360856269,
|
| 791 |
+
"grad_norm": 3.008280038833618,
|
| 792 |
+
"learning_rate": 0.00019548057428274266,
|
| 793 |
+
"loss": 0.5275,
|
| 794 |
+
"step": 560
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.49366535605067713,
|
| 798 |
+
"grad_norm": 1.0968583822250366,
|
| 799 |
+
"learning_rate": 0.00019539851843057798,
|
| 800 |
+
"loss": 0.3233,
|
| 801 |
+
"step": 565
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.4980340760157274,
|
| 805 |
+
"grad_norm": 1.265228271484375,
|
| 806 |
+
"learning_rate": 0.00019531574188817234,
|
| 807 |
+
"loss": 0.2743,
|
| 808 |
+
"step": 570
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.5024027959807776,
|
| 812 |
+
"grad_norm": 1.9382916688919067,
|
| 813 |
+
"learning_rate": 0.000195232245280863,
|
| 814 |
+
"loss": 0.3189,
|
| 815 |
+
"step": 575
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.5067715159458279,
|
| 819 |
+
"grad_norm": 1.6710058450698853,
|
| 820 |
+
"learning_rate": 0.00019514802923942687,
|
| 821 |
+
"loss": 0.345,
|
| 822 |
+
"step": 580
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.5111402359108781,
|
| 826 |
+
"grad_norm": 1.8377633094787598,
|
| 827 |
+
"learning_rate": 0.000195063094400076,
|
| 828 |
+
"loss": 0.4441,
|
| 829 |
+
"step": 585
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.5155089558759284,
|
| 833 |
+
"grad_norm": 1.432173728942871,
|
| 834 |
+
"learning_rate": 0.0001949774414044525,
|
| 835 |
+
"loss": 0.3277,
|
| 836 |
+
"step": 590
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.5198776758409785,
|
| 840 |
+
"grad_norm": 1.096330165863037,
|
| 841 |
+
"learning_rate": 0.0001948910708996239,
|
| 842 |
+
"loss": 0.3821,
|
| 843 |
+
"step": 595
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.5242463958060288,
|
| 847 |
+
"grad_norm": 1.1951391696929932,
|
| 848 |
+
"learning_rate": 0.00019480398353807798,
|
| 849 |
+
"loss": 0.4303,
|
| 850 |
+
"step": 600
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.5286151157710791,
|
| 854 |
+
"grad_norm": 0.9764880537986755,
|
| 855 |
+
"learning_rate": 0.0001947161799777183,
|
| 856 |
+
"loss": 0.2693,
|
| 857 |
+
"step": 605
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.5329838357361293,
|
| 861 |
+
"grad_norm": 1.2566354274749756,
|
| 862 |
+
"learning_rate": 0.00019462766088185874,
|
| 863 |
+
"loss": 0.2851,
|
| 864 |
+
"step": 610
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.5373525557011796,
|
| 868 |
+
"grad_norm": 1.494903802871704,
|
| 869 |
+
"learning_rate": 0.0001945384269192188,
|
| 870 |
+
"loss": 0.36,
|
| 871 |
+
"step": 615
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.5417212756662297,
|
| 875 |
+
"grad_norm": 1.5508995056152344,
|
| 876 |
+
"learning_rate": 0.00019444847876391844,
|
| 877 |
+
"loss": 0.3682,
|
| 878 |
+
"step": 620
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.54608999563128,
|
| 882 |
+
"grad_norm": 2.227889060974121,
|
| 883 |
+
"learning_rate": 0.00019435781709547305,
|
| 884 |
+
"loss": 0.3889,
|
| 885 |
+
"step": 625
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.5504587155963303,
|
| 889 |
+
"grad_norm": 0.9221494197845459,
|
| 890 |
+
"learning_rate": 0.0001942664425987882,
|
| 891 |
+
"loss": 0.3375,
|
| 892 |
+
"step": 630
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.5548274355613805,
|
| 896 |
+
"grad_norm": 1.3386973142623901,
|
| 897 |
+
"learning_rate": 0.00019417435596415458,
|
| 898 |
+
"loss": 0.4833,
|
| 899 |
+
"step": 635
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.5591961555264308,
|
| 903 |
+
"grad_norm": 1.9686752557754517,
|
| 904 |
+
"learning_rate": 0.00019408155788724272,
|
| 905 |
+
"loss": 0.4739,
|
| 906 |
+
"step": 640
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.563564875491481,
|
| 910 |
+
"grad_norm": 2.3978073596954346,
|
| 911 |
+
"learning_rate": 0.00019398804906909777,
|
| 912 |
+
"loss": 0.4681,
|
| 913 |
+
"step": 645
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.5679335954565312,
|
| 917 |
+
"grad_norm": 1.536699652671814,
|
| 918 |
+
"learning_rate": 0.0001938938302161342,
|
| 919 |
+
"loss": 0.2684,
|
| 920 |
+
"step": 650
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.5723023154215815,
|
| 924 |
+
"grad_norm": 1.691787600517273,
|
| 925 |
+
"learning_rate": 0.00019379890204013043,
|
| 926 |
+
"loss": 0.3512,
|
| 927 |
+
"step": 655
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.5766710353866317,
|
| 931 |
+
"grad_norm": 1.7557870149612427,
|
| 932 |
+
"learning_rate": 0.0001937032652582235,
|
| 933 |
+
"loss": 0.3423,
|
| 934 |
+
"step": 660
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.581039755351682,
|
| 938 |
+
"grad_norm": 1.7950220108032227,
|
| 939 |
+
"learning_rate": 0.0001936069205929036,
|
| 940 |
+
"loss": 0.2831,
|
| 941 |
+
"step": 665
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.5854084753167322,
|
| 945 |
+
"grad_norm": 1.928232192993164,
|
| 946 |
+
"learning_rate": 0.00019350986877200867,
|
| 947 |
+
"loss": 0.323,
|
| 948 |
+
"step": 670
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.5897771952817824,
|
| 952 |
+
"grad_norm": 1.86429762840271,
|
| 953 |
+
"learning_rate": 0.00019341211052871887,
|
| 954 |
+
"loss": 0.4248,
|
| 955 |
+
"step": 675
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.5941459152468327,
|
| 959 |
+
"grad_norm": 2.022738456726074,
|
| 960 |
+
"learning_rate": 0.00019331364660155103,
|
| 961 |
+
"loss": 0.3411,
|
| 962 |
+
"step": 680
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.598514635211883,
|
| 966 |
+
"grad_norm": 1.2337995767593384,
|
| 967 |
+
"learning_rate": 0.00019321447773435306,
|
| 968 |
+
"loss": 0.2368,
|
| 969 |
+
"step": 685
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.6028833551769331,
|
| 973 |
+
"grad_norm": 2.015075445175171,
|
| 974 |
+
"learning_rate": 0.00019311460467629843,
|
| 975 |
+
"loss": 0.5116,
|
| 976 |
+
"step": 690
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.6072520751419834,
|
| 980 |
+
"grad_norm": 1.2344030141830444,
|
| 981 |
+
"learning_rate": 0.00019301402818188036,
|
| 982 |
+
"loss": 0.3313,
|
| 983 |
+
"step": 695
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.6116207951070336,
|
| 987 |
+
"grad_norm": 1.129764437675476,
|
| 988 |
+
"learning_rate": 0.00019291274901090625,
|
| 989 |
+
"loss": 0.408,
|
| 990 |
+
"step": 700
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.6159895150720839,
|
| 994 |
+
"grad_norm": 1.4350385665893555,
|
| 995 |
+
"learning_rate": 0.00019281076792849184,
|
| 996 |
+
"loss": 0.3729,
|
| 997 |
+
"step": 705
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.6203582350371342,
|
| 1001 |
+
"grad_norm": 1.9586119651794434,
|
| 1002 |
+
"learning_rate": 0.00019270808570505553,
|
| 1003 |
+
"loss": 0.4315,
|
| 1004 |
+
"step": 710
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.6247269550021843,
|
| 1008 |
+
"grad_norm": 1.0157238245010376,
|
| 1009 |
+
"learning_rate": 0.00019260470311631243,
|
| 1010 |
+
"loss": 0.2861,
|
| 1011 |
+
"step": 715
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.6290956749672346,
|
| 1015 |
+
"grad_norm": 1.3841652870178223,
|
| 1016 |
+
"learning_rate": 0.00019250062094326864,
|
| 1017 |
+
"loss": 0.4037,
|
| 1018 |
+
"step": 720
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.6334643949322848,
|
| 1022 |
+
"grad_norm": 1.848821997642517,
|
| 1023 |
+
"learning_rate": 0.00019239583997221525,
|
| 1024 |
+
"loss": 0.3665,
|
| 1025 |
+
"step": 725
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.6378331148973351,
|
| 1029 |
+
"grad_norm": 0.9416481256484985,
|
| 1030 |
+
"learning_rate": 0.0001922903609947225,
|
| 1031 |
+
"loss": 0.339,
|
| 1032 |
+
"step": 730
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.6422018348623854,
|
| 1036 |
+
"grad_norm": 1.0696804523468018,
|
| 1037 |
+
"learning_rate": 0.0001921841848076336,
|
| 1038 |
+
"loss": 0.2783,
|
| 1039 |
+
"step": 735
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.6465705548274355,
|
| 1043 |
+
"grad_norm": 1.9199622869491577,
|
| 1044 |
+
"learning_rate": 0.00019207731221305903,
|
| 1045 |
+
"loss": 0.2904,
|
| 1046 |
+
"step": 740
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.6509392747924858,
|
| 1050 |
+
"grad_norm": 1.347430944442749,
|
| 1051 |
+
"learning_rate": 0.00019196974401837008,
|
| 1052 |
+
"loss": 0.2719,
|
| 1053 |
+
"step": 745
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.6553079947575361,
|
| 1057 |
+
"grad_norm": 0.9743670225143433,
|
| 1058 |
+
"learning_rate": 0.0001918614810361932,
|
| 1059 |
+
"loss": 0.2748,
|
| 1060 |
+
"step": 750
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.6596767147225863,
|
| 1064 |
+
"grad_norm": 1.4043099880218506,
|
| 1065 |
+
"learning_rate": 0.00019175252408440343,
|
| 1066 |
+
"loss": 0.3285,
|
| 1067 |
+
"step": 755
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.6640454346876365,
|
| 1071 |
+
"grad_norm": 2.9343338012695312,
|
| 1072 |
+
"learning_rate": 0.0001916428739861185,
|
| 1073 |
+
"loss": 0.4962,
|
| 1074 |
+
"step": 760
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.6684141546526867,
|
| 1078 |
+
"grad_norm": 2.3201515674591064,
|
| 1079 |
+
"learning_rate": 0.0001915325315696926,
|
| 1080 |
+
"loss": 0.3243,
|
| 1081 |
+
"step": 765
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.672782874617737,
|
| 1085 |
+
"grad_norm": 1.675564169883728,
|
| 1086 |
+
"learning_rate": 0.00019142149766870992,
|
| 1087 |
+
"loss": 0.4596,
|
| 1088 |
+
"step": 770
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.6771515945827873,
|
| 1092 |
+
"grad_norm": 1.664604663848877,
|
| 1093 |
+
"learning_rate": 0.00019130977312197854,
|
| 1094 |
+
"loss": 0.3024,
|
| 1095 |
+
"step": 775
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.6815203145478375,
|
| 1099 |
+
"grad_norm": 1.8358148336410522,
|
| 1100 |
+
"learning_rate": 0.00019119735877352412,
|
| 1101 |
+
"loss": 0.3862,
|
| 1102 |
+
"step": 780
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.6858890345128877,
|
| 1106 |
+
"grad_norm": 1.3632128238677979,
|
| 1107 |
+
"learning_rate": 0.00019108425547258328,
|
| 1108 |
+
"loss": 0.2374,
|
| 1109 |
+
"step": 785
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.6902577544779379,
|
| 1113 |
+
"grad_norm": 2.0279934406280518,
|
| 1114 |
+
"learning_rate": 0.0001909704640735975,
|
| 1115 |
+
"loss": 0.4392,
|
| 1116 |
+
"step": 790
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.6946264744429882,
|
| 1120 |
+
"grad_norm": 1.2824902534484863,
|
| 1121 |
+
"learning_rate": 0.0001908559854362064,
|
| 1122 |
+
"loss": 0.2782,
|
| 1123 |
+
"step": 795
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.6989951944080385,
|
| 1127 |
+
"grad_norm": 1.3477047681808472,
|
| 1128 |
+
"learning_rate": 0.00019074082042524145,
|
| 1129 |
+
"loss": 0.3631,
|
| 1130 |
+
"step": 800
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.7033639143730887,
|
| 1134 |
+
"grad_norm": 1.8478046655654907,
|
| 1135 |
+
"learning_rate": 0.00019062496991071928,
|
| 1136 |
+
"loss": 0.3788,
|
| 1137 |
+
"step": 805
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.7077326343381389,
|
| 1141 |
+
"grad_norm": 1.470382571220398,
|
| 1142 |
+
"learning_rate": 0.0001905084347678352,
|
| 1143 |
+
"loss": 0.3825,
|
| 1144 |
+
"step": 810
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.7121013543031892,
|
| 1148 |
+
"grad_norm": 2.4951813220977783,
|
| 1149 |
+
"learning_rate": 0.00019039121587695652,
|
| 1150 |
+
"loss": 0.3359,
|
| 1151 |
+
"step": 815
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.7164700742682394,
|
| 1155 |
+
"grad_norm": 2.3441359996795654,
|
| 1156 |
+
"learning_rate": 0.000190273314123616,
|
| 1157 |
+
"loss": 0.32,
|
| 1158 |
+
"step": 820
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.7208387942332897,
|
| 1162 |
+
"grad_norm": 2.372884750366211,
|
| 1163 |
+
"learning_rate": 0.00019015473039850513,
|
| 1164 |
+
"loss": 0.3651,
|
| 1165 |
+
"step": 825
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.7252075141983398,
|
| 1169 |
+
"grad_norm": 2.4474101066589355,
|
| 1170 |
+
"learning_rate": 0.0001900354655974672,
|
| 1171 |
+
"loss": 0.4401,
|
| 1172 |
+
"step": 830
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.7295762341633901,
|
| 1176 |
+
"grad_norm": 1.4031054973602295,
|
| 1177 |
+
"learning_rate": 0.0001899155206214909,
|
| 1178 |
+
"loss": 0.308,
|
| 1179 |
+
"step": 835
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.7339449541284404,
|
| 1183 |
+
"grad_norm": 1.6008141040802002,
|
| 1184 |
+
"learning_rate": 0.00018979489637670322,
|
| 1185 |
+
"loss": 0.2937,
|
| 1186 |
+
"step": 840
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.7383136740934906,
|
| 1190 |
+
"grad_norm": 0.9202178120613098,
|
| 1191 |
+
"learning_rate": 0.0001896735937743627,
|
| 1192 |
+
"loss": 0.3157,
|
| 1193 |
+
"step": 845
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.7426823940585409,
|
| 1197 |
+
"grad_norm": 1.024746298789978,
|
| 1198 |
+
"learning_rate": 0.00018955161373085253,
|
| 1199 |
+
"loss": 0.2934,
|
| 1200 |
+
"step": 850
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.747051114023591,
|
| 1204 |
+
"grad_norm": 1.1573566198349,
|
| 1205 |
+
"learning_rate": 0.00018942895716767374,
|
| 1206 |
+
"loss": 0.3617,
|
| 1207 |
+
"step": 855
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.7514198339886413,
|
| 1211 |
+
"grad_norm": 1.227409839630127,
|
| 1212 |
+
"learning_rate": 0.00018930562501143805,
|
| 1213 |
+
"loss": 0.3581,
|
| 1214 |
+
"step": 860
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.7557885539536916,
|
| 1218 |
+
"grad_norm": 1.5460100173950195,
|
| 1219 |
+
"learning_rate": 0.00018918161819386095,
|
| 1220 |
+
"loss": 0.3393,
|
| 1221 |
+
"step": 865
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.7601572739187418,
|
| 1225 |
+
"grad_norm": 1.688852310180664,
|
| 1226 |
+
"learning_rate": 0.0001890569376517548,
|
| 1227 |
+
"loss": 0.4389,
|
| 1228 |
+
"step": 870
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.764525993883792,
|
| 1232 |
+
"grad_norm": 1.5271598100662231,
|
| 1233 |
+
"learning_rate": 0.00018893158432702149,
|
| 1234 |
+
"loss": 0.2915,
|
| 1235 |
+
"step": 875
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.7688947138488423,
|
| 1239 |
+
"grad_norm": 1.695788860321045,
|
| 1240 |
+
"learning_rate": 0.00018880555916664555,
|
| 1241 |
+
"loss": 0.4026,
|
| 1242 |
+
"step": 880
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.7732634338138925,
|
| 1246 |
+
"grad_norm": 1.6879792213439941,
|
| 1247 |
+
"learning_rate": 0.00018867886312268683,
|
| 1248 |
+
"loss": 0.2857,
|
| 1249 |
+
"step": 885
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.7776321537789428,
|
| 1253 |
+
"grad_norm": 2.0718719959259033,
|
| 1254 |
+
"learning_rate": 0.00018855149715227344,
|
| 1255 |
+
"loss": 0.4236,
|
| 1256 |
+
"step": 890
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.782000873743993,
|
| 1260 |
+
"grad_norm": 1.5112775564193726,
|
| 1261 |
+
"learning_rate": 0.00018842346221759448,
|
| 1262 |
+
"loss": 0.325,
|
| 1263 |
+
"step": 895
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.7863695937090432,
|
| 1267 |
+
"grad_norm": 1.2844749689102173,
|
| 1268 |
+
"learning_rate": 0.00018829475928589271,
|
| 1269 |
+
"loss": 0.3782,
|
| 1270 |
+
"step": 900
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.7907383136740935,
|
| 1274 |
+
"grad_norm": 2.150299072265625,
|
| 1275 |
+
"learning_rate": 0.00018816538932945728,
|
| 1276 |
+
"loss": 0.3726,
|
| 1277 |
+
"step": 905
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.7951070336391437,
|
| 1281 |
+
"grad_norm": 1.7050650119781494,
|
| 1282 |
+
"learning_rate": 0.00018803535332561646,
|
| 1283 |
+
"loss": 0.3824,
|
| 1284 |
+
"step": 910
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.799475753604194,
|
| 1288 |
+
"grad_norm": 1.8164982795715332,
|
| 1289 |
+
"learning_rate": 0.00018790465225673012,
|
| 1290 |
+
"loss": 0.3664,
|
| 1291 |
+
"step": 915
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.8038444735692443,
|
| 1295 |
+
"grad_norm": 1.1102941036224365,
|
| 1296 |
+
"learning_rate": 0.00018777328711018244,
|
| 1297 |
+
"loss": 0.3166,
|
| 1298 |
+
"step": 920
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.8082131935342944,
|
| 1302 |
+
"grad_norm": 1.4220764636993408,
|
| 1303 |
+
"learning_rate": 0.0001876412588783743,
|
| 1304 |
+
"loss": 0.3049,
|
| 1305 |
+
"step": 925
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.8125819134993447,
|
| 1309 |
+
"grad_norm": 2.11336088180542,
|
| 1310 |
+
"learning_rate": 0.000187508568558716,
|
| 1311 |
+
"loss": 0.3076,
|
| 1312 |
+
"step": 930
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.8169506334643949,
|
| 1316 |
+
"grad_norm": 1.9948710203170776,
|
| 1317 |
+
"learning_rate": 0.00018737521715361948,
|
| 1318 |
+
"loss": 0.3846,
|
| 1319 |
+
"step": 935
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.8213193534294452,
|
| 1323 |
+
"grad_norm": 1.8913676738739014,
|
| 1324 |
+
"learning_rate": 0.00018724120567049094,
|
| 1325 |
+
"loss": 0.4296,
|
| 1326 |
+
"step": 940
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.8256880733944955,
|
| 1330 |
+
"grad_norm": 1.3633447885513306,
|
| 1331 |
+
"learning_rate": 0.0001871065351217231,
|
| 1332 |
+
"loss": 0.3569,
|
| 1333 |
+
"step": 945
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.8300567933595456,
|
| 1337 |
+
"grad_norm": 1.4957417249679565,
|
| 1338 |
+
"learning_rate": 0.00018697120652468762,
|
| 1339 |
+
"loss": 0.3085,
|
| 1340 |
+
"step": 950
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.8344255133245959,
|
| 1344 |
+
"grad_norm": 2.076399803161621,
|
| 1345 |
+
"learning_rate": 0.0001868352209017275,
|
| 1346 |
+
"loss": 0.3331,
|
| 1347 |
+
"step": 955
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.8387942332896461,
|
| 1351 |
+
"grad_norm": 1.1817855834960938,
|
| 1352 |
+
"learning_rate": 0.00018669857928014906,
|
| 1353 |
+
"loss": 0.3414,
|
| 1354 |
+
"step": 960
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.8431629532546964,
|
| 1358 |
+
"grad_norm": 1.4255414009094238,
|
| 1359 |
+
"learning_rate": 0.00018656128269221454,
|
| 1360 |
+
"loss": 0.2782,
|
| 1361 |
+
"step": 965
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.8475316732197467,
|
| 1365 |
+
"grad_norm": 1.326687216758728,
|
| 1366 |
+
"learning_rate": 0.0001864233321751341,
|
| 1367 |
+
"loss": 0.2998,
|
| 1368 |
+
"step": 970
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.8519003931847968,
|
| 1372 |
+
"grad_norm": 2.222280263900757,
|
| 1373 |
+
"learning_rate": 0.00018628472877105793,
|
| 1374 |
+
"loss": 0.3348,
|
| 1375 |
+
"step": 975
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.8562691131498471,
|
| 1379 |
+
"grad_norm": 1.518401026725769,
|
| 1380 |
+
"learning_rate": 0.00018614547352706863,
|
| 1381 |
+
"loss": 0.3816,
|
| 1382 |
+
"step": 980
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.8606378331148974,
|
| 1386 |
+
"grad_norm": 1.1030207872390747,
|
| 1387 |
+
"learning_rate": 0.00018600556749517305,
|
| 1388 |
+
"loss": 0.3222,
|
| 1389 |
+
"step": 985
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.8650065530799476,
|
| 1393 |
+
"grad_norm": 2.406994104385376,
|
| 1394 |
+
"learning_rate": 0.00018586501173229437,
|
| 1395 |
+
"loss": 0.3754,
|
| 1396 |
+
"step": 990
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.8693752730449978,
|
| 1400 |
+
"grad_norm": 1.2401646375656128,
|
| 1401 |
+
"learning_rate": 0.00018572380730026434,
|
| 1402 |
+
"loss": 0.4402,
|
| 1403 |
+
"step": 995
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.873743993010048,
|
| 1407 |
+
"grad_norm": 2.0233402252197266,
|
| 1408 |
+
"learning_rate": 0.0001855819552658149,
|
| 1409 |
+
"loss": 0.3323,
|
| 1410 |
+
"step": 1000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.8781127129750983,
|
| 1414 |
+
"grad_norm": 1.5329450368881226,
|
| 1415 |
+
"learning_rate": 0.00018543945670057045,
|
| 1416 |
+
"loss": 0.235,
|
| 1417 |
+
"step": 1005
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.8824814329401486,
|
| 1421 |
+
"grad_norm": 1.8849459886550903,
|
| 1422 |
+
"learning_rate": 0.00018529631268103964,
|
| 1423 |
+
"loss": 0.357,
|
| 1424 |
+
"step": 1010
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.8868501529051988,
|
| 1428 |
+
"grad_norm": 2.016646146774292,
|
| 1429 |
+
"learning_rate": 0.0001851525242886071,
|
| 1430 |
+
"loss": 0.2663,
|
| 1431 |
+
"step": 1015
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.891218872870249,
|
| 1435 |
+
"grad_norm": 2.3272440433502197,
|
| 1436 |
+
"learning_rate": 0.0001850080926095255,
|
| 1437 |
+
"loss": 0.2926,
|
| 1438 |
+
"step": 1020
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.8955875928352992,
|
| 1442 |
+
"grad_norm": 1.7760261297225952,
|
| 1443 |
+
"learning_rate": 0.00018486301873490713,
|
| 1444 |
+
"loss": 0.4155,
|
| 1445 |
+
"step": 1025
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.8999563128003495,
|
| 1449 |
+
"grad_norm": 1.4679979085922241,
|
| 1450 |
+
"learning_rate": 0.0001847173037607159,
|
| 1451 |
+
"loss": 0.2877,
|
| 1452 |
+
"step": 1030
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.9043250327653998,
|
| 1456 |
+
"grad_norm": 1.8398054838180542,
|
| 1457 |
+
"learning_rate": 0.0001845709487877588,
|
| 1458 |
+
"loss": 0.2856,
|
| 1459 |
+
"step": 1035
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.9086937527304499,
|
| 1463 |
+
"grad_norm": 3.05880069732666,
|
| 1464 |
+
"learning_rate": 0.00018442395492167775,
|
| 1465 |
+
"loss": 0.3373,
|
| 1466 |
+
"step": 1040
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.9130624726955002,
|
| 1470 |
+
"grad_norm": 1.2527328729629517,
|
| 1471 |
+
"learning_rate": 0.0001842763232729412,
|
| 1472 |
+
"loss": 0.2412,
|
| 1473 |
+
"step": 1045
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.9174311926605505,
|
| 1477 |
+
"grad_norm": 1.7745814323425293,
|
| 1478 |
+
"learning_rate": 0.00018412805495683575,
|
| 1479 |
+
"loss": 0.3955,
|
| 1480 |
+
"step": 1050
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.9217999126256007,
|
| 1484 |
+
"grad_norm": 3.2864468097686768,
|
| 1485 |
+
"learning_rate": 0.0001839791510934577,
|
| 1486 |
+
"loss": 0.333,
|
| 1487 |
+
"step": 1055
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.926168632590651,
|
| 1491 |
+
"grad_norm": 2.0274927616119385,
|
| 1492 |
+
"learning_rate": 0.0001838296128077046,
|
| 1493 |
+
"loss": 0.4004,
|
| 1494 |
+
"step": 1060
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.9305373525557011,
|
| 1498 |
+
"grad_norm": 1.9851633310317993,
|
| 1499 |
+
"learning_rate": 0.0001836794412292668,
|
| 1500 |
+
"loss": 0.3132,
|
| 1501 |
+
"step": 1065
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.9349060725207514,
|
| 1505 |
+
"grad_norm": 1.3309999704360962,
|
| 1506 |
+
"learning_rate": 0.00018352863749261883,
|
| 1507 |
+
"loss": 0.2645,
|
| 1508 |
+
"step": 1070
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.9392747924858017,
|
| 1512 |
+
"grad_norm": 2.0173072814941406,
|
| 1513 |
+
"learning_rate": 0.00018337720273701088,
|
| 1514 |
+
"loss": 0.4376,
|
| 1515 |
+
"step": 1075
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.9436435124508519,
|
| 1519 |
+
"grad_norm": 1.815408706665039,
|
| 1520 |
+
"learning_rate": 0.00018322513810646024,
|
| 1521 |
+
"loss": 0.2851,
|
| 1522 |
+
"step": 1080
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.9480122324159022,
|
| 1526 |
+
"grad_norm": 1.1190584897994995,
|
| 1527 |
+
"learning_rate": 0.00018307244474974254,
|
| 1528 |
+
"loss": 0.4664,
|
| 1529 |
+
"step": 1085
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.9523809523809523,
|
| 1533 |
+
"grad_norm": 0.9746566414833069,
|
| 1534 |
+
"learning_rate": 0.00018291912382038317,
|
| 1535 |
+
"loss": 0.3816,
|
| 1536 |
+
"step": 1090
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 0.9567496723460026,
|
| 1540 |
+
"grad_norm": 1.9062715768814087,
|
| 1541 |
+
"learning_rate": 0.0001827651764766485,
|
| 1542 |
+
"loss": 0.3031,
|
| 1543 |
+
"step": 1095
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 0.9611183923110529,
|
| 1547 |
+
"grad_norm": 1.027502417564392,
|
| 1548 |
+
"learning_rate": 0.00018261060388153718,
|
| 1549 |
+
"loss": 0.2657,
|
| 1550 |
+
"step": 1100
|
| 1551 |
+
}
|
| 1552 |
+
],
|
| 1553 |
+
"logging_steps": 5,
|
| 1554 |
+
"max_steps": 5725,
|
| 1555 |
+
"num_input_tokens_seen": 0,
|
| 1556 |
+
"num_train_epochs": 5,
|
| 1557 |
+
"save_steps": 100,
|
| 1558 |
+
"stateful_callbacks": {
|
| 1559 |
+
"TrainerControl": {
|
| 1560 |
+
"args": {
|
| 1561 |
+
"should_epoch_stop": false,
|
| 1562 |
+
"should_evaluate": false,
|
| 1563 |
+
"should_log": false,
|
| 1564 |
+
"should_save": true,
|
| 1565 |
+
"should_training_stop": false
|
| 1566 |
+
},
|
| 1567 |
+
"attributes": {}
|
| 1568 |
+
}
|
| 1569 |
+
},
|
| 1570 |
+
"total_flos": 534084911751168.0,
|
| 1571 |
+
"train_batch_size": 4,
|
| 1572 |
+
"trial_name": null,
|
| 1573 |
+
"trial_params": null
|
| 1574 |
+
}
|
checkpoint-1100/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:629a35960f565450f5c9e65334fb9c14eb136182b8af4bc22c885bdde32de5f3
|
| 3 |
+
size 5777
|
checkpoint-1200/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/functiongemma-270m-it
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/functiongemma-270m-it
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.17.1
|
checkpoint-1200/adapter_config.json
ADDED
|
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "unsloth/functiongemma-270m-it",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 128,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 64,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"gate_proj",
|
| 29 |
+
"down_proj",
|
| 30 |
+
"o_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"q_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"up_proj"
|
| 35 |
+
],
|
| 36 |
+
"target_parameters": null,
|
| 37 |
+
"task_type": "CAUSAL_LM",
|
| 38 |
+
"trainable_token_indices": null,
|
| 39 |
+
"use_dora": false,
|
| 40 |
+
"use_qalora": false,
|
| 41 |
+
"use_rslora": false
|
| 42 |
+
}
|