Commit
•
91291d4
1
Parent(s):
fbdce07
Uploaded checkpoint-4000
Browse files- README.md +202 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +2853 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
base_model: meta-llama/Meta-Llama-3-8B
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.8.2
|
adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "meta-llama/Meta-Llama-3-8B",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layers_pattern": null,
|
| 10 |
+
"layers_to_transform": null,
|
| 11 |
+
"loftq_config": {},
|
| 12 |
+
"lora_alpha": 256,
|
| 13 |
+
"lora_dropout": 0.05,
|
| 14 |
+
"megatron_config": null,
|
| 15 |
+
"megatron_core": "megatron.core",
|
| 16 |
+
"modules_to_save": null,
|
| 17 |
+
"peft_type": "LORA",
|
| 18 |
+
"r": 64,
|
| 19 |
+
"rank_pattern": {},
|
| 20 |
+
"revision": null,
|
| 21 |
+
"target_modules": [
|
| 22 |
+
"up_proj",
|
| 23 |
+
"gate_proj",
|
| 24 |
+
"q_proj",
|
| 25 |
+
"k_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"o_proj",
|
| 28 |
+
"down_proj"
|
| 29 |
+
],
|
| 30 |
+
"task_type": "CAUSAL_LM",
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ff83f2208a12269ab88f837771fe55ccc1e0b1b7bbf133c4fd5cd6fc9912bbe
|
| 3 |
+
size 671149168
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:389ee4af29c82f1f8e8acf2414035b54f8b070ca2056f429c93f818d712d9855
|
| 3 |
+
size 1342555602
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4977eb5a29c69acd0ffd2f9e73a70148a6fd69bceacb9b7216fe6a0617858874
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:24604a320b3d6f1ad947c9cbbc8c9764624511f3cf3636bfb0820f2d3889a2bf
|
| 3 |
+
size 1064
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2853 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.2,
|
| 5 |
+
"eval_steps": 1000,
|
| 6 |
+
"global_step": 4000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"grad_norm": 31.81644058227539,
|
| 14 |
+
"learning_rate": 8e-08,
|
| 15 |
+
"loss": 1.5083,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0,
|
| 20 |
+
"grad_norm": 16.249370574951172,
|
| 21 |
+
"learning_rate": 1.7000000000000001e-07,
|
| 22 |
+
"loss": 1.2724,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0,
|
| 27 |
+
"grad_norm": 16.85301971435547,
|
| 28 |
+
"learning_rate": 2.7e-07,
|
| 29 |
+
"loss": 1.2571,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.0,
|
| 34 |
+
"grad_norm": 12.382726669311523,
|
| 35 |
+
"learning_rate": 3.7e-07,
|
| 36 |
+
"loss": 1.101,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.0,
|
| 41 |
+
"grad_norm": 43.00498962402344,
|
| 42 |
+
"learning_rate": 4.6999999999999995e-07,
|
| 43 |
+
"loss": 1.2847,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.0,
|
| 48 |
+
"grad_norm": 16.686534881591797,
|
| 49 |
+
"learning_rate": 5.6e-07,
|
| 50 |
+
"loss": 0.8594,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.0,
|
| 55 |
+
"grad_norm": 23.844993591308594,
|
| 56 |
+
"learning_rate": 6.6e-07,
|
| 57 |
+
"loss": 0.7645,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.0,
|
| 62 |
+
"grad_norm": 15.943971633911133,
|
| 63 |
+
"learning_rate": 7.599999999999999e-07,
|
| 64 |
+
"loss": 0.7681,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.0,
|
| 69 |
+
"grad_norm": 12.707146644592285,
|
| 70 |
+
"learning_rate": 8.599999999999999e-07,
|
| 71 |
+
"loss": 0.8728,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.01,
|
| 76 |
+
"grad_norm": 13.066338539123535,
|
| 77 |
+
"learning_rate": 9.6e-07,
|
| 78 |
+
"loss": 0.7508,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.01,
|
| 83 |
+
"grad_norm": 21.36861801147461,
|
| 84 |
+
"learning_rate": 9.993939393939394e-07,
|
| 85 |
+
"loss": 0.999,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.01,
|
| 90 |
+
"grad_norm": 23.451967239379883,
|
| 91 |
+
"learning_rate": 9.983838383838383e-07,
|
| 92 |
+
"loss": 0.8396,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.01,
|
| 97 |
+
"grad_norm": 14.662145614624023,
|
| 98 |
+
"learning_rate": 9.973737373737373e-07,
|
| 99 |
+
"loss": 1.0884,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.01,
|
| 104 |
+
"grad_norm": 9.530464172363281,
|
| 105 |
+
"learning_rate": 9.963636363636362e-07,
|
| 106 |
+
"loss": 0.8505,
|
| 107 |
+
"step": 140
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.01,
|
| 111 |
+
"grad_norm": 30.15620231628418,
|
| 112 |
+
"learning_rate": 9.953535353535352e-07,
|
| 113 |
+
"loss": 0.971,
|
| 114 |
+
"step": 150
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.01,
|
| 118 |
+
"grad_norm": 43.50494384765625,
|
| 119 |
+
"learning_rate": 9.943434343434343e-07,
|
| 120 |
+
"loss": 0.9758,
|
| 121 |
+
"step": 160
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.01,
|
| 125 |
+
"grad_norm": 18.704565048217773,
|
| 126 |
+
"learning_rate": 9.933333333333333e-07,
|
| 127 |
+
"loss": 1.1095,
|
| 128 |
+
"step": 170
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.01,
|
| 132 |
+
"grad_norm": 51.077552795410156,
|
| 133 |
+
"learning_rate": 9.923232323232322e-07,
|
| 134 |
+
"loss": 1.0251,
|
| 135 |
+
"step": 180
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.01,
|
| 139 |
+
"grad_norm": 32.405906677246094,
|
| 140 |
+
"learning_rate": 9.913131313131314e-07,
|
| 141 |
+
"loss": 0.8793,
|
| 142 |
+
"step": 190
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.01,
|
| 146 |
+
"grad_norm": 35.2808952331543,
|
| 147 |
+
"learning_rate": 9.903030303030303e-07,
|
| 148 |
+
"loss": 0.6785,
|
| 149 |
+
"step": 200
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.01,
|
| 153 |
+
"grad_norm": 17.738399505615234,
|
| 154 |
+
"learning_rate": 9.892929292929293e-07,
|
| 155 |
+
"loss": 0.8258,
|
| 156 |
+
"step": 210
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.01,
|
| 160 |
+
"grad_norm": 8.202994346618652,
|
| 161 |
+
"learning_rate": 9.882828282828282e-07,
|
| 162 |
+
"loss": 0.8756,
|
| 163 |
+
"step": 220
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.01,
|
| 167 |
+
"grad_norm": 16.26487159729004,
|
| 168 |
+
"learning_rate": 9.872727272727272e-07,
|
| 169 |
+
"loss": 1.0467,
|
| 170 |
+
"step": 230
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.01,
|
| 174 |
+
"grad_norm": 32.37431335449219,
|
| 175 |
+
"learning_rate": 9.862626262626263e-07,
|
| 176 |
+
"loss": 0.9119,
|
| 177 |
+
"step": 240
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.01,
|
| 181 |
+
"grad_norm": 5.586151599884033,
|
| 182 |
+
"learning_rate": 9.852525252525253e-07,
|
| 183 |
+
"loss": 0.8556,
|
| 184 |
+
"step": 250
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.01,
|
| 188 |
+
"grad_norm": 16.249475479125977,
|
| 189 |
+
"learning_rate": 9.842424242424242e-07,
|
| 190 |
+
"loss": 0.7945,
|
| 191 |
+
"step": 260
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.01,
|
| 195 |
+
"grad_norm": 60.965965270996094,
|
| 196 |
+
"learning_rate": 9.832323232323231e-07,
|
| 197 |
+
"loss": 1.0668,
|
| 198 |
+
"step": 270
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.01,
|
| 202 |
+
"grad_norm": 19.940616607666016,
|
| 203 |
+
"learning_rate": 9.82222222222222e-07,
|
| 204 |
+
"loss": 0.6501,
|
| 205 |
+
"step": 280
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.01,
|
| 209 |
+
"grad_norm": 26.526460647583008,
|
| 210 |
+
"learning_rate": 9.812121212121212e-07,
|
| 211 |
+
"loss": 1.0423,
|
| 212 |
+
"step": 290
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.01,
|
| 216 |
+
"grad_norm": 27.455795288085938,
|
| 217 |
+
"learning_rate": 9.802020202020202e-07,
|
| 218 |
+
"loss": 0.6693,
|
| 219 |
+
"step": 300
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.02,
|
| 223 |
+
"grad_norm": 18.113489151000977,
|
| 224 |
+
"learning_rate": 9.791919191919191e-07,
|
| 225 |
+
"loss": 0.4784,
|
| 226 |
+
"step": 310
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.02,
|
| 230 |
+
"grad_norm": 29.75452423095703,
|
| 231 |
+
"learning_rate": 9.78181818181818e-07,
|
| 232 |
+
"loss": 0.5004,
|
| 233 |
+
"step": 320
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.02,
|
| 237 |
+
"grad_norm": 24.82709503173828,
|
| 238 |
+
"learning_rate": 9.77171717171717e-07,
|
| 239 |
+
"loss": 0.8543,
|
| 240 |
+
"step": 330
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.02,
|
| 244 |
+
"grad_norm": 22.23027801513672,
|
| 245 |
+
"learning_rate": 9.761616161616162e-07,
|
| 246 |
+
"loss": 0.796,
|
| 247 |
+
"step": 340
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.02,
|
| 251 |
+
"grad_norm": 9.593890190124512,
|
| 252 |
+
"learning_rate": 9.751515151515151e-07,
|
| 253 |
+
"loss": 0.672,
|
| 254 |
+
"step": 350
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.02,
|
| 258 |
+
"grad_norm": 19.550216674804688,
|
| 259 |
+
"learning_rate": 9.74141414141414e-07,
|
| 260 |
+
"loss": 0.5915,
|
| 261 |
+
"step": 360
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.02,
|
| 265 |
+
"grad_norm": 18.101367950439453,
|
| 266 |
+
"learning_rate": 9.731313131313132e-07,
|
| 267 |
+
"loss": 0.8967,
|
| 268 |
+
"step": 370
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.02,
|
| 272 |
+
"grad_norm": 6.973883152008057,
|
| 273 |
+
"learning_rate": 9.721212121212122e-07,
|
| 274 |
+
"loss": 0.7841,
|
| 275 |
+
"step": 380
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.02,
|
| 279 |
+
"grad_norm": 18.076982498168945,
|
| 280 |
+
"learning_rate": 9.711111111111111e-07,
|
| 281 |
+
"loss": 0.7783,
|
| 282 |
+
"step": 390
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.02,
|
| 286 |
+
"grad_norm": 1.5223013162612915,
|
| 287 |
+
"learning_rate": 9.7010101010101e-07,
|
| 288 |
+
"loss": 0.8647,
|
| 289 |
+
"step": 400
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.02,
|
| 293 |
+
"grad_norm": 14.444634437561035,
|
| 294 |
+
"learning_rate": 9.69090909090909e-07,
|
| 295 |
+
"loss": 0.6745,
|
| 296 |
+
"step": 410
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.02,
|
| 300 |
+
"grad_norm": 41.90908432006836,
|
| 301 |
+
"learning_rate": 9.680808080808082e-07,
|
| 302 |
+
"loss": 1.0749,
|
| 303 |
+
"step": 420
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.02,
|
| 307 |
+
"grad_norm": 27.912317276000977,
|
| 308 |
+
"learning_rate": 9.67070707070707e-07,
|
| 309 |
+
"loss": 0.5588,
|
| 310 |
+
"step": 430
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.02,
|
| 314 |
+
"grad_norm": 22.31749725341797,
|
| 315 |
+
"learning_rate": 9.66060606060606e-07,
|
| 316 |
+
"loss": 0.7683,
|
| 317 |
+
"step": 440
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.02,
|
| 321 |
+
"grad_norm": 57.88829040527344,
|
| 322 |
+
"learning_rate": 9.65050505050505e-07,
|
| 323 |
+
"loss": 0.5442,
|
| 324 |
+
"step": 450
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.02,
|
| 328 |
+
"grad_norm": 43.25718688964844,
|
| 329 |
+
"learning_rate": 9.64040404040404e-07,
|
| 330 |
+
"loss": 0.8028,
|
| 331 |
+
"step": 460
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.02,
|
| 335 |
+
"grad_norm": 21.001134872436523,
|
| 336 |
+
"learning_rate": 9.630303030303029e-07,
|
| 337 |
+
"loss": 0.7472,
|
| 338 |
+
"step": 470
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.02,
|
| 342 |
+
"grad_norm": 13.919650077819824,
|
| 343 |
+
"learning_rate": 9.62020202020202e-07,
|
| 344 |
+
"loss": 0.5318,
|
| 345 |
+
"step": 480
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.02,
|
| 349 |
+
"grad_norm": 26.845335006713867,
|
| 350 |
+
"learning_rate": 9.61010101010101e-07,
|
| 351 |
+
"loss": 1.012,
|
| 352 |
+
"step": 490
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.03,
|
| 356 |
+
"grad_norm": 20.0955867767334,
|
| 357 |
+
"learning_rate": 9.6e-07,
|
| 358 |
+
"loss": 0.9174,
|
| 359 |
+
"step": 500
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.03,
|
| 363 |
+
"grad_norm": 9.6511812210083,
|
| 364 |
+
"learning_rate": 9.589898989898989e-07,
|
| 365 |
+
"loss": 0.691,
|
| 366 |
+
"step": 510
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.03,
|
| 370 |
+
"grad_norm": 12.875068664550781,
|
| 371 |
+
"learning_rate": 9.579797979797978e-07,
|
| 372 |
+
"loss": 0.7781,
|
| 373 |
+
"step": 520
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.03,
|
| 377 |
+
"grad_norm": 28.99612045288086,
|
| 378 |
+
"learning_rate": 9.56969696969697e-07,
|
| 379 |
+
"loss": 0.7791,
|
| 380 |
+
"step": 530
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.03,
|
| 384 |
+
"grad_norm": 47.6656379699707,
|
| 385 |
+
"learning_rate": 9.55959595959596e-07,
|
| 386 |
+
"loss": 0.6166,
|
| 387 |
+
"step": 540
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.03,
|
| 391 |
+
"grad_norm": 59.9251708984375,
|
| 392 |
+
"learning_rate": 9.549494949494948e-07,
|
| 393 |
+
"loss": 0.6836,
|
| 394 |
+
"step": 550
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.03,
|
| 398 |
+
"grad_norm": 34.26139831542969,
|
| 399 |
+
"learning_rate": 9.53939393939394e-07,
|
| 400 |
+
"loss": 0.4317,
|
| 401 |
+
"step": 560
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.03,
|
| 405 |
+
"grad_norm": 47.75581359863281,
|
| 406 |
+
"learning_rate": 9.529292929292929e-07,
|
| 407 |
+
"loss": 0.5685,
|
| 408 |
+
"step": 570
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.03,
|
| 412 |
+
"grad_norm": 63.76834487915039,
|
| 413 |
+
"learning_rate": 9.519191919191919e-07,
|
| 414 |
+
"loss": 0.8805,
|
| 415 |
+
"step": 580
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.03,
|
| 419 |
+
"grad_norm": 22.971323013305664,
|
| 420 |
+
"learning_rate": 9.509090909090908e-07,
|
| 421 |
+
"loss": 0.8103,
|
| 422 |
+
"step": 590
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.03,
|
| 426 |
+
"grad_norm": 42.151161193847656,
|
| 427 |
+
"learning_rate": 9.498989898989899e-07,
|
| 428 |
+
"loss": 0.7563,
|
| 429 |
+
"step": 600
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.03,
|
| 433 |
+
"grad_norm": 13.12915325164795,
|
| 434 |
+
"learning_rate": 9.488888888888888e-07,
|
| 435 |
+
"loss": 0.6844,
|
| 436 |
+
"step": 610
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.03,
|
| 440 |
+
"grad_norm": 37.901973724365234,
|
| 441 |
+
"learning_rate": 9.478787878787879e-07,
|
| 442 |
+
"loss": 0.7467,
|
| 443 |
+
"step": 620
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.03,
|
| 447 |
+
"grad_norm": 29.114883422851562,
|
| 448 |
+
"learning_rate": 9.468686868686868e-07,
|
| 449 |
+
"loss": 0.7759,
|
| 450 |
+
"step": 630
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.03,
|
| 454 |
+
"grad_norm": 37.42153549194336,
|
| 455 |
+
"learning_rate": 9.458585858585858e-07,
|
| 456 |
+
"loss": 0.7221,
|
| 457 |
+
"step": 640
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.03,
|
| 461 |
+
"grad_norm": 46.287559509277344,
|
| 462 |
+
"learning_rate": 9.448484848484848e-07,
|
| 463 |
+
"loss": 0.7219,
|
| 464 |
+
"step": 650
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.03,
|
| 468 |
+
"grad_norm": 76.34626770019531,
|
| 469 |
+
"learning_rate": 9.438383838383838e-07,
|
| 470 |
+
"loss": 0.6938,
|
| 471 |
+
"step": 660
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.03,
|
| 475 |
+
"grad_norm": 20.480300903320312,
|
| 476 |
+
"learning_rate": 9.428282828282827e-07,
|
| 477 |
+
"loss": 0.8135,
|
| 478 |
+
"step": 670
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.03,
|
| 482 |
+
"grad_norm": 9.508841514587402,
|
| 483 |
+
"learning_rate": 9.418181818181818e-07,
|
| 484 |
+
"loss": 0.6024,
|
| 485 |
+
"step": 680
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.03,
|
| 489 |
+
"grad_norm": 29.385066986083984,
|
| 490 |
+
"learning_rate": 9.408080808080807e-07,
|
| 491 |
+
"loss": 0.8891,
|
| 492 |
+
"step": 690
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.04,
|
| 496 |
+
"grad_norm": 13.06400203704834,
|
| 497 |
+
"learning_rate": 9.397979797979797e-07,
|
| 498 |
+
"loss": 0.6723,
|
| 499 |
+
"step": 700
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.04,
|
| 503 |
+
"grad_norm": 36.94926071166992,
|
| 504 |
+
"learning_rate": 9.387878787878788e-07,
|
| 505 |
+
"loss": 0.5682,
|
| 506 |
+
"step": 710
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.04,
|
| 510 |
+
"grad_norm": 30.849035263061523,
|
| 511 |
+
"learning_rate": 9.377777777777777e-07,
|
| 512 |
+
"loss": 0.6693,
|
| 513 |
+
"step": 720
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.04,
|
| 517 |
+
"grad_norm": 27.781005859375,
|
| 518 |
+
"learning_rate": 9.367676767676768e-07,
|
| 519 |
+
"loss": 0.7705,
|
| 520 |
+
"step": 730
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.04,
|
| 524 |
+
"grad_norm": 5.268486976623535,
|
| 525 |
+
"learning_rate": 9.357575757575757e-07,
|
| 526 |
+
"loss": 0.7672,
|
| 527 |
+
"step": 740
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.04,
|
| 531 |
+
"grad_norm": 70.79887390136719,
|
| 532 |
+
"learning_rate": 9.347474747474747e-07,
|
| 533 |
+
"loss": 0.7617,
|
| 534 |
+
"step": 750
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.04,
|
| 538 |
+
"grad_norm": 71.6796875,
|
| 539 |
+
"learning_rate": 9.337373737373737e-07,
|
| 540 |
+
"loss": 0.5425,
|
| 541 |
+
"step": 760
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.04,
|
| 545 |
+
"grad_norm": 21.205890655517578,
|
| 546 |
+
"learning_rate": 9.327272727272727e-07,
|
| 547 |
+
"loss": 0.6768,
|
| 548 |
+
"step": 770
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.04,
|
| 552 |
+
"grad_norm": 38.276634216308594,
|
| 553 |
+
"learning_rate": 9.317171717171717e-07,
|
| 554 |
+
"loss": 0.8681,
|
| 555 |
+
"step": 780
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.04,
|
| 559 |
+
"grad_norm": 17.904993057250977,
|
| 560 |
+
"learning_rate": 9.307070707070707e-07,
|
| 561 |
+
"loss": 0.7128,
|
| 562 |
+
"step": 790
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.04,
|
| 566 |
+
"grad_norm": 32.66667938232422,
|
| 567 |
+
"learning_rate": 9.296969696969696e-07,
|
| 568 |
+
"loss": 0.8662,
|
| 569 |
+
"step": 800
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.04,
|
| 573 |
+
"grad_norm": 7.020589828491211,
|
| 574 |
+
"learning_rate": 9.286868686868687e-07,
|
| 575 |
+
"loss": 0.7344,
|
| 576 |
+
"step": 810
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.04,
|
| 580 |
+
"grad_norm": 33.822608947753906,
|
| 581 |
+
"learning_rate": 9.276767676767676e-07,
|
| 582 |
+
"loss": 0.7825,
|
| 583 |
+
"step": 820
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.04,
|
| 587 |
+
"grad_norm": 21.147552490234375,
|
| 588 |
+
"learning_rate": 9.266666666666665e-07,
|
| 589 |
+
"loss": 0.7716,
|
| 590 |
+
"step": 830
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.04,
|
| 594 |
+
"grad_norm": 22.41349983215332,
|
| 595 |
+
"learning_rate": 9.256565656565656e-07,
|
| 596 |
+
"loss": 0.4673,
|
| 597 |
+
"step": 840
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.04,
|
| 601 |
+
"grad_norm": 24.813737869262695,
|
| 602 |
+
"learning_rate": 9.246464646464645e-07,
|
| 603 |
+
"loss": 0.7137,
|
| 604 |
+
"step": 850
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.04,
|
| 608 |
+
"grad_norm": 31.02164649963379,
|
| 609 |
+
"learning_rate": 9.236363636363636e-07,
|
| 610 |
+
"loss": 1.0195,
|
| 611 |
+
"step": 860
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.04,
|
| 615 |
+
"grad_norm": 19.22023582458496,
|
| 616 |
+
"learning_rate": 9.226262626262625e-07,
|
| 617 |
+
"loss": 0.8201,
|
| 618 |
+
"step": 870
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.04,
|
| 622 |
+
"grad_norm": 21.087970733642578,
|
| 623 |
+
"learning_rate": 9.216161616161616e-07,
|
| 624 |
+
"loss": 0.6296,
|
| 625 |
+
"step": 880
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.04,
|
| 629 |
+
"grad_norm": 8.970023155212402,
|
| 630 |
+
"learning_rate": 9.206060606060606e-07,
|
| 631 |
+
"loss": 0.3712,
|
| 632 |
+
"step": 890
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.04,
|
| 636 |
+
"grad_norm": 28.498889923095703,
|
| 637 |
+
"learning_rate": 9.195959595959596e-07,
|
| 638 |
+
"loss": 0.7953,
|
| 639 |
+
"step": 900
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.05,
|
| 643 |
+
"grad_norm": 21.259479522705078,
|
| 644 |
+
"learning_rate": 9.185858585858585e-07,
|
| 645 |
+
"loss": 0.7346,
|
| 646 |
+
"step": 910
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.05,
|
| 650 |
+
"grad_norm": 13.871064186096191,
|
| 651 |
+
"learning_rate": 9.175757575757576e-07,
|
| 652 |
+
"loss": 0.6644,
|
| 653 |
+
"step": 920
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.05,
|
| 657 |
+
"grad_norm": 44.91512680053711,
|
| 658 |
+
"learning_rate": 9.165656565656565e-07,
|
| 659 |
+
"loss": 0.5467,
|
| 660 |
+
"step": 930
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.05,
|
| 664 |
+
"grad_norm": 11.775423049926758,
|
| 665 |
+
"learning_rate": 9.155555555555556e-07,
|
| 666 |
+
"loss": 0.5149,
|
| 667 |
+
"step": 940
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.05,
|
| 671 |
+
"grad_norm": 35.62663650512695,
|
| 672 |
+
"learning_rate": 9.145454545454545e-07,
|
| 673 |
+
"loss": 0.6002,
|
| 674 |
+
"step": 950
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.05,
|
| 678 |
+
"grad_norm": 32.12046813964844,
|
| 679 |
+
"learning_rate": 9.135353535353535e-07,
|
| 680 |
+
"loss": 0.8875,
|
| 681 |
+
"step": 960
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.05,
|
| 685 |
+
"grad_norm": 37.11963653564453,
|
| 686 |
+
"learning_rate": 9.126262626262626e-07,
|
| 687 |
+
"loss": 0.9515,
|
| 688 |
+
"step": 970
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.05,
|
| 692 |
+
"grad_norm": 21.641096115112305,
|
| 693 |
+
"learning_rate": 9.116161616161616e-07,
|
| 694 |
+
"loss": 0.7849,
|
| 695 |
+
"step": 980
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.05,
|
| 699 |
+
"grad_norm": 29.253921508789062,
|
| 700 |
+
"learning_rate": 9.106060606060606e-07,
|
| 701 |
+
"loss": 0.5926,
|
| 702 |
+
"step": 990
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.05,
|
| 706 |
+
"grad_norm": 27.01972198486328,
|
| 707 |
+
"learning_rate": 9.095959595959596e-07,
|
| 708 |
+
"loss": 0.7061,
|
| 709 |
+
"step": 1000
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.05,
|
| 713 |
+
"eval_loss": 0.725902259349823,
|
| 714 |
+
"eval_runtime": 274.8847,
|
| 715 |
+
"eval_samples_per_second": 3.638,
|
| 716 |
+
"eval_steps_per_second": 3.638,
|
| 717 |
+
"step": 1000
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.05,
|
| 721 |
+
"grad_norm": 16.84354019165039,
|
| 722 |
+
"learning_rate": 9.085858585858586e-07,
|
| 723 |
+
"loss": 0.6186,
|
| 724 |
+
"step": 1010
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.05,
|
| 728 |
+
"grad_norm": 36.384700775146484,
|
| 729 |
+
"learning_rate": 9.075757575757576e-07,
|
| 730 |
+
"loss": 0.8362,
|
| 731 |
+
"step": 1020
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.05,
|
| 735 |
+
"grad_norm": 37.640892028808594,
|
| 736 |
+
"learning_rate": 9.065656565656565e-07,
|
| 737 |
+
"loss": 0.7901,
|
| 738 |
+
"step": 1030
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.05,
|
| 742 |
+
"grad_norm": 44.735076904296875,
|
| 743 |
+
"learning_rate": 9.055555555555556e-07,
|
| 744 |
+
"loss": 0.5116,
|
| 745 |
+
"step": 1040
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.05,
|
| 749 |
+
"grad_norm": 46.5770263671875,
|
| 750 |
+
"learning_rate": 9.045454545454545e-07,
|
| 751 |
+
"loss": 0.7274,
|
| 752 |
+
"step": 1050
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.05,
|
| 756 |
+
"grad_norm": 0.10406364500522614,
|
| 757 |
+
"learning_rate": 9.035353535353534e-07,
|
| 758 |
+
"loss": 0.4903,
|
| 759 |
+
"step": 1060
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.05,
|
| 763 |
+
"grad_norm": 18.263145446777344,
|
| 764 |
+
"learning_rate": 9.025252525252525e-07,
|
| 765 |
+
"loss": 0.7371,
|
| 766 |
+
"step": 1070
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.05,
|
| 770 |
+
"grad_norm": 33.42209243774414,
|
| 771 |
+
"learning_rate": 9.015151515151514e-07,
|
| 772 |
+
"loss": 0.8111,
|
| 773 |
+
"step": 1080
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.05,
|
| 777 |
+
"grad_norm": 48.237525939941406,
|
| 778 |
+
"learning_rate": 9.005050505050504e-07,
|
| 779 |
+
"loss": 0.6233,
|
| 780 |
+
"step": 1090
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.06,
|
| 784 |
+
"grad_norm": 1.5421327352523804,
|
| 785 |
+
"learning_rate": 8.994949494949494e-07,
|
| 786 |
+
"loss": 0.6609,
|
| 787 |
+
"step": 1100
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.06,
|
| 791 |
+
"grad_norm": 29.761442184448242,
|
| 792 |
+
"learning_rate": 8.984848484848484e-07,
|
| 793 |
+
"loss": 0.4407,
|
| 794 |
+
"step": 1110
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.06,
|
| 798 |
+
"grad_norm": 31.435007095336914,
|
| 799 |
+
"learning_rate": 8.974747474747474e-07,
|
| 800 |
+
"loss": 0.7207,
|
| 801 |
+
"step": 1120
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.06,
|
| 805 |
+
"grad_norm": 28.20315170288086,
|
| 806 |
+
"learning_rate": 8.964646464646465e-07,
|
| 807 |
+
"loss": 0.6879,
|
| 808 |
+
"step": 1130
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.06,
|
| 812 |
+
"grad_norm": 19.431041717529297,
|
| 813 |
+
"learning_rate": 8.954545454545454e-07,
|
| 814 |
+
"loss": 0.7292,
|
| 815 |
+
"step": 1140
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.06,
|
| 819 |
+
"grad_norm": 40.8221435546875,
|
| 820 |
+
"learning_rate": 8.944444444444445e-07,
|
| 821 |
+
"loss": 0.9112,
|
| 822 |
+
"step": 1150
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.06,
|
| 826 |
+
"grad_norm": 4.42428731918335,
|
| 827 |
+
"learning_rate": 8.934343434343434e-07,
|
| 828 |
+
"loss": 0.484,
|
| 829 |
+
"step": 1160
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.06,
|
| 833 |
+
"grad_norm": 24.146841049194336,
|
| 834 |
+
"learning_rate": 8.924242424242425e-07,
|
| 835 |
+
"loss": 0.4881,
|
| 836 |
+
"step": 1170
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.06,
|
| 840 |
+
"grad_norm": 52.02534866333008,
|
| 841 |
+
"learning_rate": 8.914141414141414e-07,
|
| 842 |
+
"loss": 0.8042,
|
| 843 |
+
"step": 1180
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.06,
|
| 847 |
+
"grad_norm": 26.81230926513672,
|
| 848 |
+
"learning_rate": 8.904040404040404e-07,
|
| 849 |
+
"loss": 0.6995,
|
| 850 |
+
"step": 1190
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.06,
|
| 854 |
+
"grad_norm": 9.775701522827148,
|
| 855 |
+
"learning_rate": 8.893939393939394e-07,
|
| 856 |
+
"loss": 0.8203,
|
| 857 |
+
"step": 1200
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.06,
|
| 861 |
+
"grad_norm": 20.65981674194336,
|
| 862 |
+
"learning_rate": 8.883838383838383e-07,
|
| 863 |
+
"loss": 0.9154,
|
| 864 |
+
"step": 1210
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.06,
|
| 868 |
+
"grad_norm": 20.086986541748047,
|
| 869 |
+
"learning_rate": 8.873737373737373e-07,
|
| 870 |
+
"loss": 0.4731,
|
| 871 |
+
"step": 1220
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.06,
|
| 875 |
+
"grad_norm": 20.6555233001709,
|
| 876 |
+
"learning_rate": 8.863636363636363e-07,
|
| 877 |
+
"loss": 0.7798,
|
| 878 |
+
"step": 1230
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.06,
|
| 882 |
+
"grad_norm": 13.60240364074707,
|
| 883 |
+
"learning_rate": 8.853535353535353e-07,
|
| 884 |
+
"loss": 0.6382,
|
| 885 |
+
"step": 1240
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.06,
|
| 889 |
+
"grad_norm": 20.39061737060547,
|
| 890 |
+
"learning_rate": 8.843434343434343e-07,
|
| 891 |
+
"loss": 0.6077,
|
| 892 |
+
"step": 1250
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.06,
|
| 896 |
+
"grad_norm": 14.251206398010254,
|
| 897 |
+
"learning_rate": 8.833333333333333e-07,
|
| 898 |
+
"loss": 0.5736,
|
| 899 |
+
"step": 1260
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.06,
|
| 903 |
+
"grad_norm": 63.768611907958984,
|
| 904 |
+
"learning_rate": 8.823232323232322e-07,
|
| 905 |
+
"loss": 0.7059,
|
| 906 |
+
"step": 1270
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.06,
|
| 910 |
+
"grad_norm": 44.81045150756836,
|
| 911 |
+
"learning_rate": 8.813131313131313e-07,
|
| 912 |
+
"loss": 0.6352,
|
| 913 |
+
"step": 1280
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.06,
|
| 917 |
+
"grad_norm": 15.952017784118652,
|
| 918 |
+
"learning_rate": 8.803030303030302e-07,
|
| 919 |
+
"loss": 0.7523,
|
| 920 |
+
"step": 1290
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.07,
|
| 924 |
+
"grad_norm": 27.234148025512695,
|
| 925 |
+
"learning_rate": 8.792929292929293e-07,
|
| 926 |
+
"loss": 0.4924,
|
| 927 |
+
"step": 1300
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.07,
|
| 931 |
+
"grad_norm": 44.29439163208008,
|
| 932 |
+
"learning_rate": 8.782828282828283e-07,
|
| 933 |
+
"loss": 0.6422,
|
| 934 |
+
"step": 1310
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.07,
|
| 938 |
+
"grad_norm": 35.106658935546875,
|
| 939 |
+
"learning_rate": 8.772727272727273e-07,
|
| 940 |
+
"loss": 0.655,
|
| 941 |
+
"step": 1320
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.07,
|
| 945 |
+
"grad_norm": 2.1618399620056152,
|
| 946 |
+
"learning_rate": 8.762626262626263e-07,
|
| 947 |
+
"loss": 0.6463,
|
| 948 |
+
"step": 1330
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.07,
|
| 952 |
+
"grad_norm": 36.30659866333008,
|
| 953 |
+
"learning_rate": 8.752525252525253e-07,
|
| 954 |
+
"loss": 0.5618,
|
| 955 |
+
"step": 1340
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.07,
|
| 959 |
+
"grad_norm": 18.705991744995117,
|
| 960 |
+
"learning_rate": 8.742424242424242e-07,
|
| 961 |
+
"loss": 0.5887,
|
| 962 |
+
"step": 1350
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.07,
|
| 966 |
+
"grad_norm": 2.828080654144287,
|
| 967 |
+
"learning_rate": 8.732323232323232e-07,
|
| 968 |
+
"loss": 0.6611,
|
| 969 |
+
"step": 1360
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.07,
|
| 973 |
+
"grad_norm": 47.979820251464844,
|
| 974 |
+
"learning_rate": 8.722222222222222e-07,
|
| 975 |
+
"loss": 0.4975,
|
| 976 |
+
"step": 1370
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.07,
|
| 980 |
+
"grad_norm": 25.263946533203125,
|
| 981 |
+
"learning_rate": 8.712121212121211e-07,
|
| 982 |
+
"loss": 0.761,
|
| 983 |
+
"step": 1380
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.07,
|
| 987 |
+
"grad_norm": 0.21978527307510376,
|
| 988 |
+
"learning_rate": 8.702020202020202e-07,
|
| 989 |
+
"loss": 0.5013,
|
| 990 |
+
"step": 1390
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.07,
|
| 994 |
+
"grad_norm": 15.600090026855469,
|
| 995 |
+
"learning_rate": 8.691919191919191e-07,
|
| 996 |
+
"loss": 0.5375,
|
| 997 |
+
"step": 1400
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.07,
|
| 1001 |
+
"grad_norm": 25.815698623657227,
|
| 1002 |
+
"learning_rate": 8.681818181818182e-07,
|
| 1003 |
+
"loss": 0.8176,
|
| 1004 |
+
"step": 1410
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.07,
|
| 1008 |
+
"grad_norm": 44.83120346069336,
|
| 1009 |
+
"learning_rate": 8.671717171717171e-07,
|
| 1010 |
+
"loss": 0.5207,
|
| 1011 |
+
"step": 1420
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.07,
|
| 1015 |
+
"grad_norm": 20.984037399291992,
|
| 1016 |
+
"learning_rate": 8.661616161616161e-07,
|
| 1017 |
+
"loss": 0.5024,
|
| 1018 |
+
"step": 1430
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.07,
|
| 1022 |
+
"grad_norm": 26.290699005126953,
|
| 1023 |
+
"learning_rate": 8.651515151515151e-07,
|
| 1024 |
+
"loss": 0.7017,
|
| 1025 |
+
"step": 1440
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.07,
|
| 1029 |
+
"grad_norm": 23.3577880859375,
|
| 1030 |
+
"learning_rate": 8.641414141414141e-07,
|
| 1031 |
+
"loss": 0.6419,
|
| 1032 |
+
"step": 1450
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.07,
|
| 1036 |
+
"grad_norm": 21.74049949645996,
|
| 1037 |
+
"learning_rate": 8.63131313131313e-07,
|
| 1038 |
+
"loss": 0.5426,
|
| 1039 |
+
"step": 1460
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.07,
|
| 1043 |
+
"grad_norm": 0.5753927230834961,
|
| 1044 |
+
"learning_rate": 8.62121212121212e-07,
|
| 1045 |
+
"loss": 0.6417,
|
| 1046 |
+
"step": 1470
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.07,
|
| 1050 |
+
"grad_norm": 36.96406936645508,
|
| 1051 |
+
"learning_rate": 8.611111111111111e-07,
|
| 1052 |
+
"loss": 0.6999,
|
| 1053 |
+
"step": 1480
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.07,
|
| 1057 |
+
"grad_norm": 0.05758470296859741,
|
| 1058 |
+
"learning_rate": 8.601010101010102e-07,
|
| 1059 |
+
"loss": 0.816,
|
| 1060 |
+
"step": 1490
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.07,
|
| 1064 |
+
"grad_norm": 51.20552062988281,
|
| 1065 |
+
"learning_rate": 8.590909090909091e-07,
|
| 1066 |
+
"loss": 0.7171,
|
| 1067 |
+
"step": 1500
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.08,
|
| 1071 |
+
"grad_norm": 34.43236541748047,
|
| 1072 |
+
"learning_rate": 8.58080808080808e-07,
|
| 1073 |
+
"loss": 0.7448,
|
| 1074 |
+
"step": 1510
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.08,
|
| 1078 |
+
"grad_norm": 89.9273681640625,
|
| 1079 |
+
"learning_rate": 8.570707070707071e-07,
|
| 1080 |
+
"loss": 0.6324,
|
| 1081 |
+
"step": 1520
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.08,
|
| 1085 |
+
"grad_norm": 9.697078704833984,
|
| 1086 |
+
"learning_rate": 8.56060606060606e-07,
|
| 1087 |
+
"loss": 0.7951,
|
| 1088 |
+
"step": 1530
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.08,
|
| 1092 |
+
"grad_norm": 28.903240203857422,
|
| 1093 |
+
"learning_rate": 8.55050505050505e-07,
|
| 1094 |
+
"loss": 0.6224,
|
| 1095 |
+
"step": 1540
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.08,
|
| 1099 |
+
"grad_norm": 19.746826171875,
|
| 1100 |
+
"learning_rate": 8.54040404040404e-07,
|
| 1101 |
+
"loss": 0.4143,
|
| 1102 |
+
"step": 1550
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.08,
|
| 1106 |
+
"grad_norm": 33.706146240234375,
|
| 1107 |
+
"learning_rate": 8.53030303030303e-07,
|
| 1108 |
+
"loss": 0.6803,
|
| 1109 |
+
"step": 1560
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.08,
|
| 1113 |
+
"grad_norm": 24.144351959228516,
|
| 1114 |
+
"learning_rate": 8.52020202020202e-07,
|
| 1115 |
+
"loss": 0.6015,
|
| 1116 |
+
"step": 1570
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.08,
|
| 1120 |
+
"grad_norm": 34.93477249145508,
|
| 1121 |
+
"learning_rate": 8.51010101010101e-07,
|
| 1122 |
+
"loss": 0.5599,
|
| 1123 |
+
"step": 1580
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.08,
|
| 1127 |
+
"grad_norm": 31.863859176635742,
|
| 1128 |
+
"learning_rate": 8.499999999999999e-07,
|
| 1129 |
+
"loss": 0.7127,
|
| 1130 |
+
"step": 1590
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.08,
|
| 1134 |
+
"grad_norm": 48.534549713134766,
|
| 1135 |
+
"learning_rate": 8.48989898989899e-07,
|
| 1136 |
+
"loss": 0.7777,
|
| 1137 |
+
"step": 1600
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.08,
|
| 1141 |
+
"grad_norm": 35.08165740966797,
|
| 1142 |
+
"learning_rate": 8.479797979797979e-07,
|
| 1143 |
+
"loss": 0.6571,
|
| 1144 |
+
"step": 1610
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.08,
|
| 1148 |
+
"grad_norm": 33.532325744628906,
|
| 1149 |
+
"learning_rate": 8.469696969696968e-07,
|
| 1150 |
+
"loss": 0.7386,
|
| 1151 |
+
"step": 1620
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.08,
|
| 1155 |
+
"grad_norm": 0.014142200350761414,
|
| 1156 |
+
"learning_rate": 8.459595959595959e-07,
|
| 1157 |
+
"loss": 0.5505,
|
| 1158 |
+
"step": 1630
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.08,
|
| 1162 |
+
"grad_norm": 29.99919319152832,
|
| 1163 |
+
"learning_rate": 8.449494949494948e-07,
|
| 1164 |
+
"loss": 0.4274,
|
| 1165 |
+
"step": 1640
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.08,
|
| 1169 |
+
"grad_norm": 13.206497192382812,
|
| 1170 |
+
"learning_rate": 8.43939393939394e-07,
|
| 1171 |
+
"loss": 0.4399,
|
| 1172 |
+
"step": 1650
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.08,
|
| 1176 |
+
"grad_norm": 17.408052444458008,
|
| 1177 |
+
"learning_rate": 8.429292929292929e-07,
|
| 1178 |
+
"loss": 0.5262,
|
| 1179 |
+
"step": 1660
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.08,
|
| 1183 |
+
"grad_norm": 14.05802059173584,
|
| 1184 |
+
"learning_rate": 8.419191919191919e-07,
|
| 1185 |
+
"loss": 0.5503,
|
| 1186 |
+
"step": 1670
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.08,
|
| 1190 |
+
"grad_norm": 13.401651382446289,
|
| 1191 |
+
"learning_rate": 8.409090909090909e-07,
|
| 1192 |
+
"loss": 0.813,
|
| 1193 |
+
"step": 1680
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.08,
|
| 1197 |
+
"grad_norm": 28.40484619140625,
|
| 1198 |
+
"learning_rate": 8.398989898989899e-07,
|
| 1199 |
+
"loss": 0.7321,
|
| 1200 |
+
"step": 1690
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.09,
|
| 1204 |
+
"grad_norm": 39.133670806884766,
|
| 1205 |
+
"learning_rate": 8.388888888888888e-07,
|
| 1206 |
+
"loss": 0.7129,
|
| 1207 |
+
"step": 1700
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.09,
|
| 1211 |
+
"grad_norm": 26.99220848083496,
|
| 1212 |
+
"learning_rate": 8.378787878787879e-07,
|
| 1213 |
+
"loss": 0.645,
|
| 1214 |
+
"step": 1710
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.09,
|
| 1218 |
+
"grad_norm": 22.875778198242188,
|
| 1219 |
+
"learning_rate": 8.368686868686868e-07,
|
| 1220 |
+
"loss": 0.6779,
|
| 1221 |
+
"step": 1720
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.09,
|
| 1225 |
+
"grad_norm": 37.771705627441406,
|
| 1226 |
+
"learning_rate": 8.358585858585859e-07,
|
| 1227 |
+
"loss": 0.6104,
|
| 1228 |
+
"step": 1730
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.09,
|
| 1232 |
+
"grad_norm": 17.48222541809082,
|
| 1233 |
+
"learning_rate": 8.348484848484848e-07,
|
| 1234 |
+
"loss": 0.5982,
|
| 1235 |
+
"step": 1740
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.09,
|
| 1239 |
+
"grad_norm": 13.396077156066895,
|
| 1240 |
+
"learning_rate": 8.338383838383838e-07,
|
| 1241 |
+
"loss": 0.6295,
|
| 1242 |
+
"step": 1750
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.09,
|
| 1246 |
+
"grad_norm": 48.97739791870117,
|
| 1247 |
+
"learning_rate": 8.328282828282828e-07,
|
| 1248 |
+
"loss": 0.8439,
|
| 1249 |
+
"step": 1760
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.09,
|
| 1253 |
+
"grad_norm": 74.33853149414062,
|
| 1254 |
+
"learning_rate": 8.318181818181817e-07,
|
| 1255 |
+
"loss": 1.0566,
|
| 1256 |
+
"step": 1770
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.09,
|
| 1260 |
+
"grad_norm": 7.2910051345825195,
|
| 1261 |
+
"learning_rate": 8.308080808080807e-07,
|
| 1262 |
+
"loss": 0.5226,
|
| 1263 |
+
"step": 1780
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.09,
|
| 1267 |
+
"grad_norm": 27.389278411865234,
|
| 1268 |
+
"learning_rate": 8.297979797979797e-07,
|
| 1269 |
+
"loss": 1.1226,
|
| 1270 |
+
"step": 1790
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.09,
|
| 1274 |
+
"grad_norm": 9.284111976623535,
|
| 1275 |
+
"learning_rate": 8.287878787878787e-07,
|
| 1276 |
+
"loss": 0.4101,
|
| 1277 |
+
"step": 1800
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.09,
|
| 1281 |
+
"grad_norm": 8.962563514709473,
|
| 1282 |
+
"learning_rate": 8.277777777777777e-07,
|
| 1283 |
+
"loss": 0.5349,
|
| 1284 |
+
"step": 1810
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.09,
|
| 1288 |
+
"grad_norm": 47.56216049194336,
|
| 1289 |
+
"learning_rate": 8.267676767676768e-07,
|
| 1290 |
+
"loss": 0.6863,
|
| 1291 |
+
"step": 1820
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.09,
|
| 1295 |
+
"grad_norm": 31.547109603881836,
|
| 1296 |
+
"learning_rate": 8.257575757575757e-07,
|
| 1297 |
+
"loss": 0.7484,
|
| 1298 |
+
"step": 1830
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.09,
|
| 1302 |
+
"grad_norm": 8.890266418457031,
|
| 1303 |
+
"learning_rate": 8.247474747474748e-07,
|
| 1304 |
+
"loss": 0.7518,
|
| 1305 |
+
"step": 1840
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.09,
|
| 1309 |
+
"grad_norm": 25.44080352783203,
|
| 1310 |
+
"learning_rate": 8.237373737373737e-07,
|
| 1311 |
+
"loss": 0.8552,
|
| 1312 |
+
"step": 1850
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.09,
|
| 1316 |
+
"grad_norm": 19.411556243896484,
|
| 1317 |
+
"learning_rate": 8.227272727272727e-07,
|
| 1318 |
+
"loss": 0.6285,
|
| 1319 |
+
"step": 1860
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.09,
|
| 1323 |
+
"grad_norm": 5.5483574867248535,
|
| 1324 |
+
"learning_rate": 8.217171717171717e-07,
|
| 1325 |
+
"loss": 0.5478,
|
| 1326 |
+
"step": 1870
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.09,
|
| 1330 |
+
"grad_norm": 22.145336151123047,
|
| 1331 |
+
"learning_rate": 8.207070707070707e-07,
|
| 1332 |
+
"loss": 0.7499,
|
| 1333 |
+
"step": 1880
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.09,
|
| 1337 |
+
"grad_norm": 30.043731689453125,
|
| 1338 |
+
"learning_rate": 8.196969696969697e-07,
|
| 1339 |
+
"loss": 0.7252,
|
| 1340 |
+
"step": 1890
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.1,
|
| 1344 |
+
"grad_norm": 39.9935417175293,
|
| 1345 |
+
"learning_rate": 8.186868686868687e-07,
|
| 1346 |
+
"loss": 0.7348,
|
| 1347 |
+
"step": 1900
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.1,
|
| 1351 |
+
"grad_norm": 5.8807525634765625,
|
| 1352 |
+
"learning_rate": 8.176767676767676e-07,
|
| 1353 |
+
"loss": 0.381,
|
| 1354 |
+
"step": 1910
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.1,
|
| 1358 |
+
"grad_norm": 16.082597732543945,
|
| 1359 |
+
"learning_rate": 8.166666666666666e-07,
|
| 1360 |
+
"loss": 0.6413,
|
| 1361 |
+
"step": 1920
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.1,
|
| 1365 |
+
"grad_norm": 15.713370323181152,
|
| 1366 |
+
"learning_rate": 8.156565656565656e-07,
|
| 1367 |
+
"loss": 0.4765,
|
| 1368 |
+
"step": 1930
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.1,
|
| 1372 |
+
"grad_norm": 43.45647048950195,
|
| 1373 |
+
"learning_rate": 8.146464646464645e-07,
|
| 1374 |
+
"loss": 0.6653,
|
| 1375 |
+
"step": 1940
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.1,
|
| 1379 |
+
"grad_norm": 51.137046813964844,
|
| 1380 |
+
"learning_rate": 8.136363636363636e-07,
|
| 1381 |
+
"loss": 0.6915,
|
| 1382 |
+
"step": 1950
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.1,
|
| 1386 |
+
"grad_norm": 33.2936897277832,
|
| 1387 |
+
"learning_rate": 8.126262626262625e-07,
|
| 1388 |
+
"loss": 0.4993,
|
| 1389 |
+
"step": 1960
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.1,
|
| 1393 |
+
"grad_norm": 10.87304973602295,
|
| 1394 |
+
"learning_rate": 8.116161616161616e-07,
|
| 1395 |
+
"loss": 0.7893,
|
| 1396 |
+
"step": 1970
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.1,
|
| 1400 |
+
"grad_norm": 0.774446427822113,
|
| 1401 |
+
"learning_rate": 8.106060606060605e-07,
|
| 1402 |
+
"loss": 0.5946,
|
| 1403 |
+
"step": 1980
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.1,
|
| 1407 |
+
"grad_norm": 26.221094131469727,
|
| 1408 |
+
"learning_rate": 8.095959595959596e-07,
|
| 1409 |
+
"loss": 0.8534,
|
| 1410 |
+
"step": 1990
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.1,
|
| 1414 |
+
"grad_norm": 46.51724624633789,
|
| 1415 |
+
"learning_rate": 8.085858585858586e-07,
|
| 1416 |
+
"loss": 0.4862,
|
| 1417 |
+
"step": 2000
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.1,
|
| 1421 |
+
"eval_loss": 0.6236868500709534,
|
| 1422 |
+
"eval_runtime": 274.2428,
|
| 1423 |
+
"eval_samples_per_second": 3.646,
|
| 1424 |
+
"eval_steps_per_second": 3.646,
|
| 1425 |
+
"step": 2000
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 0.1,
|
| 1429 |
+
"grad_norm": 15.500929832458496,
|
| 1430 |
+
"learning_rate": 8.075757575757576e-07,
|
| 1431 |
+
"loss": 0.6197,
|
| 1432 |
+
"step": 2010
|
| 1433 |
+
},
|
| 1434 |
+
{
|
| 1435 |
+
"epoch": 0.1,
|
| 1436 |
+
"grad_norm": 7.338476657867432,
|
| 1437 |
+
"learning_rate": 8.065656565656565e-07,
|
| 1438 |
+
"loss": 0.591,
|
| 1439 |
+
"step": 2020
|
| 1440 |
+
},
|
| 1441 |
+
{
|
| 1442 |
+
"epoch": 0.1,
|
| 1443 |
+
"grad_norm": 28.497867584228516,
|
| 1444 |
+
"learning_rate": 8.055555555555556e-07,
|
| 1445 |
+
"loss": 0.5593,
|
| 1446 |
+
"step": 2030
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"epoch": 0.1,
|
| 1450 |
+
"grad_norm": 15.371612548828125,
|
| 1451 |
+
"learning_rate": 8.045454545454545e-07,
|
| 1452 |
+
"loss": 0.53,
|
| 1453 |
+
"step": 2040
|
| 1454 |
+
},
|
| 1455 |
+
{
|
| 1456 |
+
"epoch": 0.1,
|
| 1457 |
+
"grad_norm": 38.33600616455078,
|
| 1458 |
+
"learning_rate": 8.035353535353536e-07,
|
| 1459 |
+
"loss": 1.0264,
|
| 1460 |
+
"step": 2050
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 0.1,
|
| 1464 |
+
"grad_norm": 17.20992088317871,
|
| 1465 |
+
"learning_rate": 8.025252525252525e-07,
|
| 1466 |
+
"loss": 0.4638,
|
| 1467 |
+
"step": 2060
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 0.1,
|
| 1471 |
+
"grad_norm": 58.250579833984375,
|
| 1472 |
+
"learning_rate": 8.015151515151514e-07,
|
| 1473 |
+
"loss": 0.5415,
|
| 1474 |
+
"step": 2070
|
| 1475 |
+
},
|
| 1476 |
+
{
|
| 1477 |
+
"epoch": 0.1,
|
| 1478 |
+
"grad_norm": 20.2476806640625,
|
| 1479 |
+
"learning_rate": 8.005050505050505e-07,
|
| 1480 |
+
"loss": 0.5162,
|
| 1481 |
+
"step": 2080
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 0.1,
|
| 1485 |
+
"grad_norm": 27.523902893066406,
|
| 1486 |
+
"learning_rate": 7.994949494949494e-07,
|
| 1487 |
+
"loss": 0.4223,
|
| 1488 |
+
"step": 2090
|
| 1489 |
+
},
|
| 1490 |
+
{
|
| 1491 |
+
"epoch": 0.1,
|
| 1492 |
+
"grad_norm": 25.663818359375,
|
| 1493 |
+
"learning_rate": 7.984848484848484e-07,
|
| 1494 |
+
"loss": 0.6016,
|
| 1495 |
+
"step": 2100
|
| 1496 |
+
},
|
| 1497 |
+
{
|
| 1498 |
+
"epoch": 0.11,
|
| 1499 |
+
"grad_norm": 25.809614181518555,
|
| 1500 |
+
"learning_rate": 7.974747474747474e-07,
|
| 1501 |
+
"loss": 1.0505,
|
| 1502 |
+
"step": 2110
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 0.11,
|
| 1506 |
+
"grad_norm": 52.98808670043945,
|
| 1507 |
+
"learning_rate": 7.964646464646464e-07,
|
| 1508 |
+
"loss": 1.1373,
|
| 1509 |
+
"step": 2120
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"epoch": 0.11,
|
| 1513 |
+
"grad_norm": 15.879914283752441,
|
| 1514 |
+
"learning_rate": 7.954545454545454e-07,
|
| 1515 |
+
"loss": 0.5527,
|
| 1516 |
+
"step": 2130
|
| 1517 |
+
},
|
| 1518 |
+
{
|
| 1519 |
+
"epoch": 0.11,
|
| 1520 |
+
"grad_norm": 16.313142776489258,
|
| 1521 |
+
"learning_rate": 7.944444444444444e-07,
|
| 1522 |
+
"loss": 0.4782,
|
| 1523 |
+
"step": 2140
|
| 1524 |
+
},
|
| 1525 |
+
{
|
| 1526 |
+
"epoch": 0.11,
|
| 1527 |
+
"grad_norm": 39.388511657714844,
|
| 1528 |
+
"learning_rate": 7.934343434343433e-07,
|
| 1529 |
+
"loss": 0.9302,
|
| 1530 |
+
"step": 2150
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"epoch": 0.11,
|
| 1534 |
+
"grad_norm": 27.657390594482422,
|
| 1535 |
+
"learning_rate": 7.924242424242425e-07,
|
| 1536 |
+
"loss": 0.4342,
|
| 1537 |
+
"step": 2160
|
| 1538 |
+
},
|
| 1539 |
+
{
|
| 1540 |
+
"epoch": 0.11,
|
| 1541 |
+
"grad_norm": 3.85066819190979,
|
| 1542 |
+
"learning_rate": 7.914141414141414e-07,
|
| 1543 |
+
"loss": 0.7398,
|
| 1544 |
+
"step": 2170
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 0.11,
|
| 1548 |
+
"grad_norm": 20.403371810913086,
|
| 1549 |
+
"learning_rate": 7.904040404040404e-07,
|
| 1550 |
+
"loss": 0.7303,
|
| 1551 |
+
"step": 2180
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 0.11,
|
| 1555 |
+
"grad_norm": 19.42263412475586,
|
| 1556 |
+
"learning_rate": 7.893939393939394e-07,
|
| 1557 |
+
"loss": 0.7445,
|
| 1558 |
+
"step": 2190
|
| 1559 |
+
},
|
| 1560 |
+
{
|
| 1561 |
+
"epoch": 0.11,
|
| 1562 |
+
"grad_norm": 21.36237144470215,
|
| 1563 |
+
"learning_rate": 7.883838383838383e-07,
|
| 1564 |
+
"loss": 0.6936,
|
| 1565 |
+
"step": 2200
|
| 1566 |
+
},
|
| 1567 |
+
{
|
| 1568 |
+
"epoch": 0.11,
|
| 1569 |
+
"grad_norm": 27.883874893188477,
|
| 1570 |
+
"learning_rate": 7.873737373737374e-07,
|
| 1571 |
+
"loss": 0.6665,
|
| 1572 |
+
"step": 2210
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 0.11,
|
| 1576 |
+
"grad_norm": 16.943950653076172,
|
| 1577 |
+
"learning_rate": 7.863636363636363e-07,
|
| 1578 |
+
"loss": 0.6188,
|
| 1579 |
+
"step": 2220
|
| 1580 |
+
},
|
| 1581 |
+
{
|
| 1582 |
+
"epoch": 0.11,
|
| 1583 |
+
"grad_norm": 117.27821350097656,
|
| 1584 |
+
"learning_rate": 7.853535353535353e-07,
|
| 1585 |
+
"loss": 0.4547,
|
| 1586 |
+
"step": 2230
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 0.11,
|
| 1590 |
+
"grad_norm": 16.697284698486328,
|
| 1591 |
+
"learning_rate": 7.843434343434343e-07,
|
| 1592 |
+
"loss": 0.3462,
|
| 1593 |
+
"step": 2240
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"epoch": 0.11,
|
| 1597 |
+
"grad_norm": 9.313762664794922,
|
| 1598 |
+
"learning_rate": 7.833333333333333e-07,
|
| 1599 |
+
"loss": 0.5729,
|
| 1600 |
+
"step": 2250
|
| 1601 |
+
},
|
| 1602 |
+
{
|
| 1603 |
+
"epoch": 0.11,
|
| 1604 |
+
"grad_norm": 43.60643005371094,
|
| 1605 |
+
"learning_rate": 7.823232323232322e-07,
|
| 1606 |
+
"loss": 0.8304,
|
| 1607 |
+
"step": 2260
|
| 1608 |
+
},
|
| 1609 |
+
{
|
| 1610 |
+
"epoch": 0.11,
|
| 1611 |
+
"grad_norm": 22.356792449951172,
|
| 1612 |
+
"learning_rate": 7.813131313131313e-07,
|
| 1613 |
+
"loss": 0.5437,
|
| 1614 |
+
"step": 2270
|
| 1615 |
+
},
|
| 1616 |
+
{
|
| 1617 |
+
"epoch": 0.11,
|
| 1618 |
+
"grad_norm": 32.53278732299805,
|
| 1619 |
+
"learning_rate": 7.803030303030302e-07,
|
| 1620 |
+
"loss": 1.0315,
|
| 1621 |
+
"step": 2280
|
| 1622 |
+
},
|
| 1623 |
+
{
|
| 1624 |
+
"epoch": 0.11,
|
| 1625 |
+
"grad_norm": 46.504573822021484,
|
| 1626 |
+
"learning_rate": 7.792929292929293e-07,
|
| 1627 |
+
"loss": 0.6465,
|
| 1628 |
+
"step": 2290
|
| 1629 |
+
},
|
| 1630 |
+
{
|
| 1631 |
+
"epoch": 0.12,
|
| 1632 |
+
"grad_norm": 7.453057765960693,
|
| 1633 |
+
"learning_rate": 7.782828282828282e-07,
|
| 1634 |
+
"loss": 0.6023,
|
| 1635 |
+
"step": 2300
|
| 1636 |
+
},
|
| 1637 |
+
{
|
| 1638 |
+
"epoch": 0.12,
|
| 1639 |
+
"grad_norm": 73.96940612792969,
|
| 1640 |
+
"learning_rate": 7.772727272727272e-07,
|
| 1641 |
+
"loss": 0.7558,
|
| 1642 |
+
"step": 2310
|
| 1643 |
+
},
|
| 1644 |
+
{
|
| 1645 |
+
"epoch": 0.12,
|
| 1646 |
+
"grad_norm": 31.267314910888672,
|
| 1647 |
+
"learning_rate": 7.762626262626262e-07,
|
| 1648 |
+
"loss": 0.527,
|
| 1649 |
+
"step": 2320
|
| 1650 |
+
},
|
| 1651 |
+
{
|
| 1652 |
+
"epoch": 0.12,
|
| 1653 |
+
"grad_norm": 41.19007873535156,
|
| 1654 |
+
"learning_rate": 7.752525252525253e-07,
|
| 1655 |
+
"loss": 0.7043,
|
| 1656 |
+
"step": 2330
|
| 1657 |
+
},
|
| 1658 |
+
{
|
| 1659 |
+
"epoch": 0.12,
|
| 1660 |
+
"grad_norm": 21.09952735900879,
|
| 1661 |
+
"learning_rate": 7.742424242424243e-07,
|
| 1662 |
+
"loss": 0.9584,
|
| 1663 |
+
"step": 2340
|
| 1664 |
+
},
|
| 1665 |
+
{
|
| 1666 |
+
"epoch": 0.12,
|
| 1667 |
+
"grad_norm": 42.14522933959961,
|
| 1668 |
+
"learning_rate": 7.732323232323232e-07,
|
| 1669 |
+
"loss": 0.5388,
|
| 1670 |
+
"step": 2350
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 0.12,
|
| 1674 |
+
"grad_norm": 13.435091972351074,
|
| 1675 |
+
"learning_rate": 7.722222222222222e-07,
|
| 1676 |
+
"loss": 0.6348,
|
| 1677 |
+
"step": 2360
|
| 1678 |
+
},
|
| 1679 |
+
{
|
| 1680 |
+
"epoch": 0.12,
|
| 1681 |
+
"grad_norm": 26.72304916381836,
|
| 1682 |
+
"learning_rate": 7.712121212121212e-07,
|
| 1683 |
+
"loss": 0.3811,
|
| 1684 |
+
"step": 2370
|
| 1685 |
+
},
|
| 1686 |
+
{
|
| 1687 |
+
"epoch": 0.12,
|
| 1688 |
+
"grad_norm": 43.16832733154297,
|
| 1689 |
+
"learning_rate": 7.702020202020202e-07,
|
| 1690 |
+
"loss": 0.7426,
|
| 1691 |
+
"step": 2380
|
| 1692 |
+
},
|
| 1693 |
+
{
|
| 1694 |
+
"epoch": 0.12,
|
| 1695 |
+
"grad_norm": 3.5628132820129395,
|
| 1696 |
+
"learning_rate": 7.691919191919191e-07,
|
| 1697 |
+
"loss": 0.4845,
|
| 1698 |
+
"step": 2390
|
| 1699 |
+
},
|
| 1700 |
+
{
|
| 1701 |
+
"epoch": 0.12,
|
| 1702 |
+
"grad_norm": 52.14829635620117,
|
| 1703 |
+
"learning_rate": 7.681818181818182e-07,
|
| 1704 |
+
"loss": 0.6397,
|
| 1705 |
+
"step": 2400
|
| 1706 |
+
},
|
| 1707 |
+
{
|
| 1708 |
+
"epoch": 0.12,
|
| 1709 |
+
"grad_norm": 33.835205078125,
|
| 1710 |
+
"learning_rate": 7.671717171717171e-07,
|
| 1711 |
+
"loss": 0.6927,
|
| 1712 |
+
"step": 2410
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"epoch": 0.12,
|
| 1716 |
+
"grad_norm": 33.98677444458008,
|
| 1717 |
+
"learning_rate": 7.661616161616161e-07,
|
| 1718 |
+
"loss": 0.6525,
|
| 1719 |
+
"step": 2420
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"epoch": 0.12,
|
| 1723 |
+
"grad_norm": 23.454181671142578,
|
| 1724 |
+
"learning_rate": 7.651515151515151e-07,
|
| 1725 |
+
"loss": 0.7971,
|
| 1726 |
+
"step": 2430
|
| 1727 |
+
},
|
| 1728 |
+
{
|
| 1729 |
+
"epoch": 0.12,
|
| 1730 |
+
"grad_norm": 39.06905746459961,
|
| 1731 |
+
"learning_rate": 7.641414141414141e-07,
|
| 1732 |
+
"loss": 0.516,
|
| 1733 |
+
"step": 2440
|
| 1734 |
+
},
|
| 1735 |
+
{
|
| 1736 |
+
"epoch": 0.12,
|
| 1737 |
+
"grad_norm": 36.33759307861328,
|
| 1738 |
+
"learning_rate": 7.631313131313131e-07,
|
| 1739 |
+
"loss": 0.6733,
|
| 1740 |
+
"step": 2450
|
| 1741 |
+
},
|
| 1742 |
+
{
|
| 1743 |
+
"epoch": 0.12,
|
| 1744 |
+
"grad_norm": 39.87421417236328,
|
| 1745 |
+
"learning_rate": 7.621212121212121e-07,
|
| 1746 |
+
"loss": 0.827,
|
| 1747 |
+
"step": 2460
|
| 1748 |
+
},
|
| 1749 |
+
{
|
| 1750 |
+
"epoch": 0.12,
|
| 1751 |
+
"grad_norm": 27.0250244140625,
|
| 1752 |
+
"learning_rate": 7.61111111111111e-07,
|
| 1753 |
+
"loss": 0.7167,
|
| 1754 |
+
"step": 2470
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 0.12,
|
| 1758 |
+
"grad_norm": 42.34687042236328,
|
| 1759 |
+
"learning_rate": 7.6010101010101e-07,
|
| 1760 |
+
"loss": 0.8127,
|
| 1761 |
+
"step": 2480
|
| 1762 |
+
},
|
| 1763 |
+
{
|
| 1764 |
+
"epoch": 0.12,
|
| 1765 |
+
"grad_norm": 20.025238037109375,
|
| 1766 |
+
"learning_rate": 7.59090909090909e-07,
|
| 1767 |
+
"loss": 0.5936,
|
| 1768 |
+
"step": 2490
|
| 1769 |
+
},
|
| 1770 |
+
{
|
| 1771 |
+
"epoch": 0.12,
|
| 1772 |
+
"grad_norm": 2.185176372528076,
|
| 1773 |
+
"learning_rate": 7.580808080808081e-07,
|
| 1774 |
+
"loss": 0.4552,
|
| 1775 |
+
"step": 2500
|
| 1776 |
+
},
|
| 1777 |
+
{
|
| 1778 |
+
"epoch": 0.13,
|
| 1779 |
+
"grad_norm": 10.323554039001465,
|
| 1780 |
+
"learning_rate": 7.570707070707071e-07,
|
| 1781 |
+
"loss": 0.6821,
|
| 1782 |
+
"step": 2510
|
| 1783 |
+
},
|
| 1784 |
+
{
|
| 1785 |
+
"epoch": 0.13,
|
| 1786 |
+
"grad_norm": 59.452205657958984,
|
| 1787 |
+
"learning_rate": 7.56060606060606e-07,
|
| 1788 |
+
"loss": 0.8375,
|
| 1789 |
+
"step": 2520
|
| 1790 |
+
},
|
| 1791 |
+
{
|
| 1792 |
+
"epoch": 0.13,
|
| 1793 |
+
"grad_norm": 0.1424858570098877,
|
| 1794 |
+
"learning_rate": 7.550505050505051e-07,
|
| 1795 |
+
"loss": 0.3893,
|
| 1796 |
+
"step": 2530
|
| 1797 |
+
},
|
| 1798 |
+
{
|
| 1799 |
+
"epoch": 0.13,
|
| 1800 |
+
"grad_norm": 19.907209396362305,
|
| 1801 |
+
"learning_rate": 7.54040404040404e-07,
|
| 1802 |
+
"loss": 0.6082,
|
| 1803 |
+
"step": 2540
|
| 1804 |
+
},
|
| 1805 |
+
{
|
| 1806 |
+
"epoch": 0.13,
|
| 1807 |
+
"grad_norm": 3.8457748889923096,
|
| 1808 |
+
"learning_rate": 7.53030303030303e-07,
|
| 1809 |
+
"loss": 0.7132,
|
| 1810 |
+
"step": 2550
|
| 1811 |
+
},
|
| 1812 |
+
{
|
| 1813 |
+
"epoch": 0.13,
|
| 1814 |
+
"grad_norm": 12.082324028015137,
|
| 1815 |
+
"learning_rate": 7.52020202020202e-07,
|
| 1816 |
+
"loss": 0.7951,
|
| 1817 |
+
"step": 2560
|
| 1818 |
+
},
|
| 1819 |
+
{
|
| 1820 |
+
"epoch": 0.13,
|
| 1821 |
+
"grad_norm": 24.198322296142578,
|
| 1822 |
+
"learning_rate": 7.51010101010101e-07,
|
| 1823 |
+
"loss": 0.5836,
|
| 1824 |
+
"step": 2570
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 0.13,
|
| 1828 |
+
"grad_norm": 25.63511085510254,
|
| 1829 |
+
"learning_rate": 7.5e-07,
|
| 1830 |
+
"loss": 0.6352,
|
| 1831 |
+
"step": 2580
|
| 1832 |
+
},
|
| 1833 |
+
{
|
| 1834 |
+
"epoch": 0.13,
|
| 1835 |
+
"grad_norm": 24.314882278442383,
|
| 1836 |
+
"learning_rate": 7.48989898989899e-07,
|
| 1837 |
+
"loss": 0.7092,
|
| 1838 |
+
"step": 2590
|
| 1839 |
+
},
|
| 1840 |
+
{
|
| 1841 |
+
"epoch": 0.13,
|
| 1842 |
+
"grad_norm": 10.859787940979004,
|
| 1843 |
+
"learning_rate": 7.479797979797979e-07,
|
| 1844 |
+
"loss": 0.5931,
|
| 1845 |
+
"step": 2600
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 0.13,
|
| 1849 |
+
"grad_norm": 13.863005638122559,
|
| 1850 |
+
"learning_rate": 7.46969696969697e-07,
|
| 1851 |
+
"loss": 0.5174,
|
| 1852 |
+
"step": 2610
|
| 1853 |
+
},
|
| 1854 |
+
{
|
| 1855 |
+
"epoch": 0.13,
|
| 1856 |
+
"grad_norm": 22.458776473999023,
|
| 1857 |
+
"learning_rate": 7.459595959595959e-07,
|
| 1858 |
+
"loss": 0.4968,
|
| 1859 |
+
"step": 2620
|
| 1860 |
+
},
|
| 1861 |
+
{
|
| 1862 |
+
"epoch": 0.13,
|
| 1863 |
+
"grad_norm": 49.36175537109375,
|
| 1864 |
+
"learning_rate": 7.449494949494948e-07,
|
| 1865 |
+
"loss": 0.6513,
|
| 1866 |
+
"step": 2630
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"epoch": 0.13,
|
| 1870 |
+
"grad_norm": 7.616428375244141,
|
| 1871 |
+
"learning_rate": 7.439393939393939e-07,
|
| 1872 |
+
"loss": 0.4914,
|
| 1873 |
+
"step": 2640
|
| 1874 |
+
},
|
| 1875 |
+
{
|
| 1876 |
+
"epoch": 0.13,
|
| 1877 |
+
"grad_norm": 4.416635036468506,
|
| 1878 |
+
"learning_rate": 7.429292929292928e-07,
|
| 1879 |
+
"loss": 0.2537,
|
| 1880 |
+
"step": 2650
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 0.13,
|
| 1884 |
+
"grad_norm": 16.390323638916016,
|
| 1885 |
+
"learning_rate": 7.419191919191918e-07,
|
| 1886 |
+
"loss": 0.7159,
|
| 1887 |
+
"step": 2660
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 0.13,
|
| 1891 |
+
"grad_norm": 5.848669052124023,
|
| 1892 |
+
"learning_rate": 7.409090909090909e-07,
|
| 1893 |
+
"loss": 0.4026,
|
| 1894 |
+
"step": 2670
|
| 1895 |
+
},
|
| 1896 |
+
{
|
| 1897 |
+
"epoch": 0.13,
|
| 1898 |
+
"grad_norm": 26.498138427734375,
|
| 1899 |
+
"learning_rate": 7.398989898989899e-07,
|
| 1900 |
+
"loss": 0.5316,
|
| 1901 |
+
"step": 2680
|
| 1902 |
+
},
|
| 1903 |
+
{
|
| 1904 |
+
"epoch": 0.13,
|
| 1905 |
+
"grad_norm": 20.28061866760254,
|
| 1906 |
+
"learning_rate": 7.388888888888889e-07,
|
| 1907 |
+
"loss": 0.8416,
|
| 1908 |
+
"step": 2690
|
| 1909 |
+
},
|
| 1910 |
+
{
|
| 1911 |
+
"epoch": 0.14,
|
| 1912 |
+
"grad_norm": 29.66952133178711,
|
| 1913 |
+
"learning_rate": 7.378787878787879e-07,
|
| 1914 |
+
"loss": 0.6887,
|
| 1915 |
+
"step": 2700
|
| 1916 |
+
},
|
| 1917 |
+
{
|
| 1918 |
+
"epoch": 0.14,
|
| 1919 |
+
"grad_norm": 18.624435424804688,
|
| 1920 |
+
"learning_rate": 7.368686868686868e-07,
|
| 1921 |
+
"loss": 0.4513,
|
| 1922 |
+
"step": 2710
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"epoch": 0.14,
|
| 1926 |
+
"grad_norm": 22.85711669921875,
|
| 1927 |
+
"learning_rate": 7.358585858585859e-07,
|
| 1928 |
+
"loss": 0.894,
|
| 1929 |
+
"step": 2720
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 0.14,
|
| 1933 |
+
"grad_norm": 30.069570541381836,
|
| 1934 |
+
"learning_rate": 7.348484848484848e-07,
|
| 1935 |
+
"loss": 0.8273,
|
| 1936 |
+
"step": 2730
|
| 1937 |
+
},
|
| 1938 |
+
{
|
| 1939 |
+
"epoch": 0.14,
|
| 1940 |
+
"grad_norm": 52.604408264160156,
|
| 1941 |
+
"learning_rate": 7.338383838383839e-07,
|
| 1942 |
+
"loss": 0.6306,
|
| 1943 |
+
"step": 2740
|
| 1944 |
+
},
|
| 1945 |
+
{
|
| 1946 |
+
"epoch": 0.14,
|
| 1947 |
+
"grad_norm": 30.587234497070312,
|
| 1948 |
+
"learning_rate": 7.328282828282828e-07,
|
| 1949 |
+
"loss": 0.7653,
|
| 1950 |
+
"step": 2750
|
| 1951 |
+
},
|
| 1952 |
+
{
|
| 1953 |
+
"epoch": 0.14,
|
| 1954 |
+
"grad_norm": 25.937252044677734,
|
| 1955 |
+
"learning_rate": 7.318181818181818e-07,
|
| 1956 |
+
"loss": 0.7205,
|
| 1957 |
+
"step": 2760
|
| 1958 |
+
},
|
| 1959 |
+
{
|
| 1960 |
+
"epoch": 0.14,
|
| 1961 |
+
"grad_norm": 18.365734100341797,
|
| 1962 |
+
"learning_rate": 7.308080808080808e-07,
|
| 1963 |
+
"loss": 0.4825,
|
| 1964 |
+
"step": 2770
|
| 1965 |
+
},
|
| 1966 |
+
{
|
| 1967 |
+
"epoch": 0.14,
|
| 1968 |
+
"grad_norm": 17.263690948486328,
|
| 1969 |
+
"learning_rate": 7.297979797979797e-07,
|
| 1970 |
+
"loss": 0.7032,
|
| 1971 |
+
"step": 2780
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"epoch": 0.14,
|
| 1975 |
+
"grad_norm": 34.739078521728516,
|
| 1976 |
+
"learning_rate": 7.287878787878787e-07,
|
| 1977 |
+
"loss": 0.463,
|
| 1978 |
+
"step": 2790
|
| 1979 |
+
},
|
| 1980 |
+
{
|
| 1981 |
+
"epoch": 0.14,
|
| 1982 |
+
"grad_norm": 10.641708374023438,
|
| 1983 |
+
"learning_rate": 7.277777777777777e-07,
|
| 1984 |
+
"loss": 0.4351,
|
| 1985 |
+
"step": 2800
|
| 1986 |
+
},
|
| 1987 |
+
{
|
| 1988 |
+
"epoch": 0.14,
|
| 1989 |
+
"grad_norm": 75.48184967041016,
|
| 1990 |
+
"learning_rate": 7.267676767676767e-07,
|
| 1991 |
+
"loss": 0.7079,
|
| 1992 |
+
"step": 2810
|
| 1993 |
+
},
|
| 1994 |
+
{
|
| 1995 |
+
"epoch": 0.14,
|
| 1996 |
+
"grad_norm": 45.05419921875,
|
| 1997 |
+
"learning_rate": 7.257575757575756e-07,
|
| 1998 |
+
"loss": 0.5934,
|
| 1999 |
+
"step": 2820
|
| 2000 |
+
},
|
| 2001 |
+
{
|
| 2002 |
+
"epoch": 0.14,
|
| 2003 |
+
"grad_norm": 29.237016677856445,
|
| 2004 |
+
"learning_rate": 7.247474747474747e-07,
|
| 2005 |
+
"loss": 0.4162,
|
| 2006 |
+
"step": 2830
|
| 2007 |
+
},
|
| 2008 |
+
{
|
| 2009 |
+
"epoch": 0.14,
|
| 2010 |
+
"grad_norm": 0.004866959527134895,
|
| 2011 |
+
"learning_rate": 7.237373737373737e-07,
|
| 2012 |
+
"loss": 0.7245,
|
| 2013 |
+
"step": 2840
|
| 2014 |
+
},
|
| 2015 |
+
{
|
| 2016 |
+
"epoch": 0.14,
|
| 2017 |
+
"grad_norm": 128.69998168945312,
|
| 2018 |
+
"learning_rate": 7.227272727272728e-07,
|
| 2019 |
+
"loss": 0.4543,
|
| 2020 |
+
"step": 2850
|
| 2021 |
+
},
|
| 2022 |
+
{
|
| 2023 |
+
"epoch": 0.14,
|
| 2024 |
+
"grad_norm": 0.031988680362701416,
|
| 2025 |
+
"learning_rate": 7.217171717171717e-07,
|
| 2026 |
+
"loss": 0.6369,
|
| 2027 |
+
"step": 2860
|
| 2028 |
+
},
|
| 2029 |
+
{
|
| 2030 |
+
"epoch": 0.14,
|
| 2031 |
+
"grad_norm": 23.29071807861328,
|
| 2032 |
+
"learning_rate": 7.207070707070707e-07,
|
| 2033 |
+
"loss": 0.8627,
|
| 2034 |
+
"step": 2870
|
| 2035 |
+
},
|
| 2036 |
+
{
|
| 2037 |
+
"epoch": 0.14,
|
| 2038 |
+
"grad_norm": 16.787782669067383,
|
| 2039 |
+
"learning_rate": 7.196969696969697e-07,
|
| 2040 |
+
"loss": 0.7068,
|
| 2041 |
+
"step": 2880
|
| 2042 |
+
},
|
| 2043 |
+
{
|
| 2044 |
+
"epoch": 0.14,
|
| 2045 |
+
"grad_norm": 27.934904098510742,
|
| 2046 |
+
"learning_rate": 7.186868686868687e-07,
|
| 2047 |
+
"loss": 0.6029,
|
| 2048 |
+
"step": 2890
|
| 2049 |
+
},
|
| 2050 |
+
{
|
| 2051 |
+
"epoch": 0.14,
|
| 2052 |
+
"grad_norm": 28.06117057800293,
|
| 2053 |
+
"learning_rate": 7.176767676767677e-07,
|
| 2054 |
+
"loss": 0.4879,
|
| 2055 |
+
"step": 2900
|
| 2056 |
+
},
|
| 2057 |
+
{
|
| 2058 |
+
"epoch": 0.15,
|
| 2059 |
+
"grad_norm": 13.214853286743164,
|
| 2060 |
+
"learning_rate": 7.166666666666667e-07,
|
| 2061 |
+
"loss": 0.4323,
|
| 2062 |
+
"step": 2910
|
| 2063 |
+
},
|
| 2064 |
+
{
|
| 2065 |
+
"epoch": 0.15,
|
| 2066 |
+
"grad_norm": 4.088837146759033,
|
| 2067 |
+
"learning_rate": 7.156565656565656e-07,
|
| 2068 |
+
"loss": 0.5254,
|
| 2069 |
+
"step": 2920
|
| 2070 |
+
},
|
| 2071 |
+
{
|
| 2072 |
+
"epoch": 0.15,
|
| 2073 |
+
"grad_norm": 29.167570114135742,
|
| 2074 |
+
"learning_rate": 7.146464646464646e-07,
|
| 2075 |
+
"loss": 0.7426,
|
| 2076 |
+
"step": 2930
|
| 2077 |
+
},
|
| 2078 |
+
{
|
| 2079 |
+
"epoch": 0.15,
|
| 2080 |
+
"grad_norm": 55.35223388671875,
|
| 2081 |
+
"learning_rate": 7.136363636363636e-07,
|
| 2082 |
+
"loss": 0.5928,
|
| 2083 |
+
"step": 2940
|
| 2084 |
+
},
|
| 2085 |
+
{
|
| 2086 |
+
"epoch": 0.15,
|
| 2087 |
+
"grad_norm": 46.83303451538086,
|
| 2088 |
+
"learning_rate": 7.126262626262625e-07,
|
| 2089 |
+
"loss": 0.5281,
|
| 2090 |
+
"step": 2950
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"epoch": 0.15,
|
| 2094 |
+
"grad_norm": 62.05622482299805,
|
| 2095 |
+
"learning_rate": 7.116161616161616e-07,
|
| 2096 |
+
"loss": 0.6006,
|
| 2097 |
+
"step": 2960
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"epoch": 0.15,
|
| 2101 |
+
"grad_norm": 47.03242874145508,
|
| 2102 |
+
"learning_rate": 7.106060606060605e-07,
|
| 2103 |
+
"loss": 0.5264,
|
| 2104 |
+
"step": 2970
|
| 2105 |
+
},
|
| 2106 |
+
{
|
| 2107 |
+
"epoch": 0.15,
|
| 2108 |
+
"grad_norm": 41.88718032836914,
|
| 2109 |
+
"learning_rate": 7.095959595959596e-07,
|
| 2110 |
+
"loss": 0.5463,
|
| 2111 |
+
"step": 2980
|
| 2112 |
+
},
|
| 2113 |
+
{
|
| 2114 |
+
"epoch": 0.15,
|
| 2115 |
+
"grad_norm": 10.629190444946289,
|
| 2116 |
+
"learning_rate": 7.085858585858585e-07,
|
| 2117 |
+
"loss": 0.4873,
|
| 2118 |
+
"step": 2990
|
| 2119 |
+
},
|
| 2120 |
+
{
|
| 2121 |
+
"epoch": 0.15,
|
| 2122 |
+
"grad_norm": 34.29298400878906,
|
| 2123 |
+
"learning_rate": 7.075757575757575e-07,
|
| 2124 |
+
"loss": 0.5327,
|
| 2125 |
+
"step": 3000
|
| 2126 |
+
},
|
| 2127 |
+
{
|
| 2128 |
+
"epoch": 0.15,
|
| 2129 |
+
"eval_loss": 0.6308945417404175,
|
| 2130 |
+
"eval_runtime": 273.2852,
|
| 2131 |
+
"eval_samples_per_second": 3.659,
|
| 2132 |
+
"eval_steps_per_second": 3.659,
|
| 2133 |
+
"step": 3000
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"epoch": 0.15,
|
| 2137 |
+
"grad_norm": 57.80482482910156,
|
| 2138 |
+
"learning_rate": 7.065656565656566e-07,
|
| 2139 |
+
"loss": 0.5131,
|
| 2140 |
+
"step": 3010
|
| 2141 |
+
},
|
| 2142 |
+
{
|
| 2143 |
+
"epoch": 0.15,
|
| 2144 |
+
"grad_norm": 15.977564811706543,
|
| 2145 |
+
"learning_rate": 7.055555555555556e-07,
|
| 2146 |
+
"loss": 0.7116,
|
| 2147 |
+
"step": 3020
|
| 2148 |
+
},
|
| 2149 |
+
{
|
| 2150 |
+
"epoch": 0.15,
|
| 2151 |
+
"grad_norm": 24.813589096069336,
|
| 2152 |
+
"learning_rate": 7.045454545454545e-07,
|
| 2153 |
+
"loss": 0.8132,
|
| 2154 |
+
"step": 3030
|
| 2155 |
+
},
|
| 2156 |
+
{
|
| 2157 |
+
"epoch": 0.15,
|
| 2158 |
+
"grad_norm": 22.984556198120117,
|
| 2159 |
+
"learning_rate": 7.035353535353536e-07,
|
| 2160 |
+
"loss": 0.9015,
|
| 2161 |
+
"step": 3040
|
| 2162 |
+
},
|
| 2163 |
+
{
|
| 2164 |
+
"epoch": 0.15,
|
| 2165 |
+
"grad_norm": 15.78228759765625,
|
| 2166 |
+
"learning_rate": 7.025252525252525e-07,
|
| 2167 |
+
"loss": 0.5522,
|
| 2168 |
+
"step": 3050
|
| 2169 |
+
},
|
| 2170 |
+
{
|
| 2171 |
+
"epoch": 0.15,
|
| 2172 |
+
"grad_norm": 19.144140243530273,
|
| 2173 |
+
"learning_rate": 7.015151515151516e-07,
|
| 2174 |
+
"loss": 0.5387,
|
| 2175 |
+
"step": 3060
|
| 2176 |
+
},
|
| 2177 |
+
{
|
| 2178 |
+
"epoch": 0.15,
|
| 2179 |
+
"grad_norm": 47.44633483886719,
|
| 2180 |
+
"learning_rate": 7.005050505050505e-07,
|
| 2181 |
+
"loss": 0.5754,
|
| 2182 |
+
"step": 3070
|
| 2183 |
+
},
|
| 2184 |
+
{
|
| 2185 |
+
"epoch": 0.15,
|
| 2186 |
+
"grad_norm": 36.51036834716797,
|
| 2187 |
+
"learning_rate": 6.994949494949494e-07,
|
| 2188 |
+
"loss": 0.8067,
|
| 2189 |
+
"step": 3080
|
| 2190 |
+
},
|
| 2191 |
+
{
|
| 2192 |
+
"epoch": 0.15,
|
| 2193 |
+
"grad_norm": 0.8666948080062866,
|
| 2194 |
+
"learning_rate": 6.984848484848485e-07,
|
| 2195 |
+
"loss": 0.6058,
|
| 2196 |
+
"step": 3090
|
| 2197 |
+
},
|
| 2198 |
+
{
|
| 2199 |
+
"epoch": 0.15,
|
| 2200 |
+
"grad_norm": 23.022371292114258,
|
| 2201 |
+
"learning_rate": 6.974747474747474e-07,
|
| 2202 |
+
"loss": 0.6043,
|
| 2203 |
+
"step": 3100
|
| 2204 |
+
},
|
| 2205 |
+
{
|
| 2206 |
+
"epoch": 0.16,
|
| 2207 |
+
"grad_norm": 42.4169807434082,
|
| 2208 |
+
"learning_rate": 6.964646464646464e-07,
|
| 2209 |
+
"loss": 0.5526,
|
| 2210 |
+
"step": 3110
|
| 2211 |
+
},
|
| 2212 |
+
{
|
| 2213 |
+
"epoch": 0.16,
|
| 2214 |
+
"grad_norm": 65.37395477294922,
|
| 2215 |
+
"learning_rate": 6.954545454545454e-07,
|
| 2216 |
+
"loss": 0.5219,
|
| 2217 |
+
"step": 3120
|
| 2218 |
+
},
|
| 2219 |
+
{
|
| 2220 |
+
"epoch": 0.16,
|
| 2221 |
+
"grad_norm": 18.157527923583984,
|
| 2222 |
+
"learning_rate": 6.944444444444444e-07,
|
| 2223 |
+
"loss": 0.6028,
|
| 2224 |
+
"step": 3130
|
| 2225 |
+
},
|
| 2226 |
+
{
|
| 2227 |
+
"epoch": 0.16,
|
| 2228 |
+
"grad_norm": 52.82014846801758,
|
| 2229 |
+
"learning_rate": 6.934343434343434e-07,
|
| 2230 |
+
"loss": 0.7391,
|
| 2231 |
+
"step": 3140
|
| 2232 |
+
},
|
| 2233 |
+
{
|
| 2234 |
+
"epoch": 0.16,
|
| 2235 |
+
"grad_norm": 19.03993034362793,
|
| 2236 |
+
"learning_rate": 6.924242424242424e-07,
|
| 2237 |
+
"loss": 0.9328,
|
| 2238 |
+
"step": 3150
|
| 2239 |
+
},
|
| 2240 |
+
{
|
| 2241 |
+
"epoch": 0.16,
|
| 2242 |
+
"grad_norm": 38.07152557373047,
|
| 2243 |
+
"learning_rate": 6.914141414141413e-07,
|
| 2244 |
+
"loss": 0.677,
|
| 2245 |
+
"step": 3160
|
| 2246 |
+
},
|
| 2247 |
+
{
|
| 2248 |
+
"epoch": 0.16,
|
| 2249 |
+
"grad_norm": 10.974771499633789,
|
| 2250 |
+
"learning_rate": 6.904040404040404e-07,
|
| 2251 |
+
"loss": 0.638,
|
| 2252 |
+
"step": 3170
|
| 2253 |
+
},
|
| 2254 |
+
{
|
| 2255 |
+
"epoch": 0.16,
|
| 2256 |
+
"grad_norm": 33.91596221923828,
|
| 2257 |
+
"learning_rate": 6.894949494949494e-07,
|
| 2258 |
+
"loss": 0.9438,
|
| 2259 |
+
"step": 3180
|
| 2260 |
+
},
|
| 2261 |
+
{
|
| 2262 |
+
"epoch": 0.16,
|
| 2263 |
+
"grad_norm": 48.037166595458984,
|
| 2264 |
+
"learning_rate": 6.884848484848485e-07,
|
| 2265 |
+
"loss": 0.4394,
|
| 2266 |
+
"step": 3190
|
| 2267 |
+
},
|
| 2268 |
+
{
|
| 2269 |
+
"epoch": 0.16,
|
| 2270 |
+
"grad_norm": 28.13571548461914,
|
| 2271 |
+
"learning_rate": 6.874747474747474e-07,
|
| 2272 |
+
"loss": 0.4743,
|
| 2273 |
+
"step": 3200
|
| 2274 |
+
},
|
| 2275 |
+
{
|
| 2276 |
+
"epoch": 0.16,
|
| 2277 |
+
"grad_norm": 35.86332702636719,
|
| 2278 |
+
"learning_rate": 6.864646464646464e-07,
|
| 2279 |
+
"loss": 0.5854,
|
| 2280 |
+
"step": 3210
|
| 2281 |
+
},
|
| 2282 |
+
{
|
| 2283 |
+
"epoch": 0.16,
|
| 2284 |
+
"grad_norm": 28.57064437866211,
|
| 2285 |
+
"learning_rate": 6.854545454545454e-07,
|
| 2286 |
+
"loss": 0.9211,
|
| 2287 |
+
"step": 3220
|
| 2288 |
+
},
|
| 2289 |
+
{
|
| 2290 |
+
"epoch": 0.16,
|
| 2291 |
+
"grad_norm": 41.90704345703125,
|
| 2292 |
+
"learning_rate": 6.844444444444444e-07,
|
| 2293 |
+
"loss": 0.6961,
|
| 2294 |
+
"step": 3230
|
| 2295 |
+
},
|
| 2296 |
+
{
|
| 2297 |
+
"epoch": 0.16,
|
| 2298 |
+
"grad_norm": 11.663514137268066,
|
| 2299 |
+
"learning_rate": 6.834343434343434e-07,
|
| 2300 |
+
"loss": 0.6082,
|
| 2301 |
+
"step": 3240
|
| 2302 |
+
},
|
| 2303 |
+
{
|
| 2304 |
+
"epoch": 0.16,
|
| 2305 |
+
"grad_norm": 0.3548143804073334,
|
| 2306 |
+
"learning_rate": 6.824242424242424e-07,
|
| 2307 |
+
"loss": 0.5743,
|
| 2308 |
+
"step": 3250
|
| 2309 |
+
},
|
| 2310 |
+
{
|
| 2311 |
+
"epoch": 0.16,
|
| 2312 |
+
"grad_norm": 49.9235954284668,
|
| 2313 |
+
"learning_rate": 6.814141414141413e-07,
|
| 2314 |
+
"loss": 0.8361,
|
| 2315 |
+
"step": 3260
|
| 2316 |
+
},
|
| 2317 |
+
{
|
| 2318 |
+
"epoch": 0.16,
|
| 2319 |
+
"grad_norm": 63.49104309082031,
|
| 2320 |
+
"learning_rate": 6.804040404040405e-07,
|
| 2321 |
+
"loss": 0.6426,
|
| 2322 |
+
"step": 3270
|
| 2323 |
+
},
|
| 2324 |
+
{
|
| 2325 |
+
"epoch": 0.16,
|
| 2326 |
+
"grad_norm": 34.379417419433594,
|
| 2327 |
+
"learning_rate": 6.793939393939394e-07,
|
| 2328 |
+
"loss": 0.6631,
|
| 2329 |
+
"step": 3280
|
| 2330 |
+
},
|
| 2331 |
+
{
|
| 2332 |
+
"epoch": 0.16,
|
| 2333 |
+
"grad_norm": 38.65358352661133,
|
| 2334 |
+
"learning_rate": 6.783838383838383e-07,
|
| 2335 |
+
"loss": 0.7235,
|
| 2336 |
+
"step": 3290
|
| 2337 |
+
},
|
| 2338 |
+
{
|
| 2339 |
+
"epoch": 0.17,
|
| 2340 |
+
"grad_norm": 65.52446746826172,
|
| 2341 |
+
"learning_rate": 6.773737373737374e-07,
|
| 2342 |
+
"loss": 0.718,
|
| 2343 |
+
"step": 3300
|
| 2344 |
+
},
|
| 2345 |
+
{
|
| 2346 |
+
"epoch": 0.17,
|
| 2347 |
+
"grad_norm": 11.010351181030273,
|
| 2348 |
+
"learning_rate": 6.763636363636363e-07,
|
| 2349 |
+
"loss": 0.7492,
|
| 2350 |
+
"step": 3310
|
| 2351 |
+
},
|
| 2352 |
+
{
|
| 2353 |
+
"epoch": 0.17,
|
| 2354 |
+
"grad_norm": 0.8809446096420288,
|
| 2355 |
+
"learning_rate": 6.753535353535354e-07,
|
| 2356 |
+
"loss": 0.685,
|
| 2357 |
+
"step": 3320
|
| 2358 |
+
},
|
| 2359 |
+
{
|
| 2360 |
+
"epoch": 0.17,
|
| 2361 |
+
"grad_norm": 18.255809783935547,
|
| 2362 |
+
"learning_rate": 6.743434343434343e-07,
|
| 2363 |
+
"loss": 0.5533,
|
| 2364 |
+
"step": 3330
|
| 2365 |
+
},
|
| 2366 |
+
{
|
| 2367 |
+
"epoch": 0.17,
|
| 2368 |
+
"grad_norm": 26.685049057006836,
|
| 2369 |
+
"learning_rate": 6.733333333333333e-07,
|
| 2370 |
+
"loss": 0.5235,
|
| 2371 |
+
"step": 3340
|
| 2372 |
+
},
|
| 2373 |
+
{
|
| 2374 |
+
"epoch": 0.17,
|
| 2375 |
+
"grad_norm": 249.94290161132812,
|
| 2376 |
+
"learning_rate": 6.723232323232323e-07,
|
| 2377 |
+
"loss": 0.6984,
|
| 2378 |
+
"step": 3350
|
| 2379 |
+
},
|
| 2380 |
+
{
|
| 2381 |
+
"epoch": 0.17,
|
| 2382 |
+
"grad_norm": 45.482479095458984,
|
| 2383 |
+
"learning_rate": 6.713131313131313e-07,
|
| 2384 |
+
"loss": 0.4921,
|
| 2385 |
+
"step": 3360
|
| 2386 |
+
},
|
| 2387 |
+
{
|
| 2388 |
+
"epoch": 0.17,
|
| 2389 |
+
"grad_norm": 19.996156692504883,
|
| 2390 |
+
"learning_rate": 6.703030303030302e-07,
|
| 2391 |
+
"loss": 0.4737,
|
| 2392 |
+
"step": 3370
|
| 2393 |
+
},
|
| 2394 |
+
{
|
| 2395 |
+
"epoch": 0.17,
|
| 2396 |
+
"grad_norm": 155.62306213378906,
|
| 2397 |
+
"learning_rate": 6.692929292929293e-07,
|
| 2398 |
+
"loss": 0.6733,
|
| 2399 |
+
"step": 3380
|
| 2400 |
+
},
|
| 2401 |
+
{
|
| 2402 |
+
"epoch": 0.17,
|
| 2403 |
+
"grad_norm": 35.31591033935547,
|
| 2404 |
+
"learning_rate": 6.682828282828282e-07,
|
| 2405 |
+
"loss": 0.5598,
|
| 2406 |
+
"step": 3390
|
| 2407 |
+
},
|
| 2408 |
+
{
|
| 2409 |
+
"epoch": 0.17,
|
| 2410 |
+
"grad_norm": 32.30759048461914,
|
| 2411 |
+
"learning_rate": 6.672727272727273e-07,
|
| 2412 |
+
"loss": 0.7611,
|
| 2413 |
+
"step": 3400
|
| 2414 |
+
},
|
| 2415 |
+
{
|
| 2416 |
+
"epoch": 0.17,
|
| 2417 |
+
"grad_norm": 30.439285278320312,
|
| 2418 |
+
"learning_rate": 6.662626262626262e-07,
|
| 2419 |
+
"loss": 0.8177,
|
| 2420 |
+
"step": 3410
|
| 2421 |
+
},
|
| 2422 |
+
{
|
| 2423 |
+
"epoch": 0.17,
|
| 2424 |
+
"grad_norm": 39.084266662597656,
|
| 2425 |
+
"learning_rate": 6.652525252525251e-07,
|
| 2426 |
+
"loss": 0.683,
|
| 2427 |
+
"step": 3420
|
| 2428 |
+
},
|
| 2429 |
+
{
|
| 2430 |
+
"epoch": 0.17,
|
| 2431 |
+
"grad_norm": 28.271728515625,
|
| 2432 |
+
"learning_rate": 6.642424242424242e-07,
|
| 2433 |
+
"loss": 0.5019,
|
| 2434 |
+
"step": 3430
|
| 2435 |
+
},
|
| 2436 |
+
{
|
| 2437 |
+
"epoch": 0.17,
|
| 2438 |
+
"grad_norm": 0.6252301931381226,
|
| 2439 |
+
"learning_rate": 6.632323232323232e-07,
|
| 2440 |
+
"loss": 0.4204,
|
| 2441 |
+
"step": 3440
|
| 2442 |
+
},
|
| 2443 |
+
{
|
| 2444 |
+
"epoch": 0.17,
|
| 2445 |
+
"grad_norm": 39.03291702270508,
|
| 2446 |
+
"learning_rate": 6.622222222222222e-07,
|
| 2447 |
+
"loss": 0.4508,
|
| 2448 |
+
"step": 3450
|
| 2449 |
+
},
|
| 2450 |
+
{
|
| 2451 |
+
"epoch": 0.17,
|
| 2452 |
+
"grad_norm": 4.38857364654541,
|
| 2453 |
+
"learning_rate": 6.612121212121212e-07,
|
| 2454 |
+
"loss": 0.5938,
|
| 2455 |
+
"step": 3460
|
| 2456 |
+
},
|
| 2457 |
+
{
|
| 2458 |
+
"epoch": 0.17,
|
| 2459 |
+
"grad_norm": 24.514738082885742,
|
| 2460 |
+
"learning_rate": 6.602020202020202e-07,
|
| 2461 |
+
"loss": 0.7128,
|
| 2462 |
+
"step": 3470
|
| 2463 |
+
},
|
| 2464 |
+
{
|
| 2465 |
+
"epoch": 0.17,
|
| 2466 |
+
"grad_norm": 45.85287857055664,
|
| 2467 |
+
"learning_rate": 6.591919191919192e-07,
|
| 2468 |
+
"loss": 0.7125,
|
| 2469 |
+
"step": 3480
|
| 2470 |
+
},
|
| 2471 |
+
{
|
| 2472 |
+
"epoch": 0.17,
|
| 2473 |
+
"grad_norm": 0.022573018446564674,
|
| 2474 |
+
"learning_rate": 6.581818181818182e-07,
|
| 2475 |
+
"loss": 0.4128,
|
| 2476 |
+
"step": 3490
|
| 2477 |
+
},
|
| 2478 |
+
{
|
| 2479 |
+
"epoch": 0.17,
|
| 2480 |
+
"grad_norm": 21.102893829345703,
|
| 2481 |
+
"learning_rate": 6.571717171717171e-07,
|
| 2482 |
+
"loss": 0.5341,
|
| 2483 |
+
"step": 3500
|
| 2484 |
+
},
|
| 2485 |
+
{
|
| 2486 |
+
"epoch": 0.18,
|
| 2487 |
+
"grad_norm": 27.609329223632812,
|
| 2488 |
+
"learning_rate": 6.561616161616162e-07,
|
| 2489 |
+
"loss": 0.4808,
|
| 2490 |
+
"step": 3510
|
| 2491 |
+
},
|
| 2492 |
+
{
|
| 2493 |
+
"epoch": 0.18,
|
| 2494 |
+
"grad_norm": 28.081892013549805,
|
| 2495 |
+
"learning_rate": 6.551515151515151e-07,
|
| 2496 |
+
"loss": 0.4426,
|
| 2497 |
+
"step": 3520
|
| 2498 |
+
},
|
| 2499 |
+
{
|
| 2500 |
+
"epoch": 0.18,
|
| 2501 |
+
"grad_norm": 35.72859573364258,
|
| 2502 |
+
"learning_rate": 6.541414141414141e-07,
|
| 2503 |
+
"loss": 0.5072,
|
| 2504 |
+
"step": 3530
|
| 2505 |
+
},
|
| 2506 |
+
{
|
| 2507 |
+
"epoch": 0.18,
|
| 2508 |
+
"grad_norm": 31.80050277709961,
|
| 2509 |
+
"learning_rate": 6.531313131313131e-07,
|
| 2510 |
+
"loss": 0.5102,
|
| 2511 |
+
"step": 3540
|
| 2512 |
+
},
|
| 2513 |
+
{
|
| 2514 |
+
"epoch": 0.18,
|
| 2515 |
+
"grad_norm": 3.7258970737457275,
|
| 2516 |
+
"learning_rate": 6.52121212121212e-07,
|
| 2517 |
+
"loss": 0.4568,
|
| 2518 |
+
"step": 3550
|
| 2519 |
+
},
|
| 2520 |
+
{
|
| 2521 |
+
"epoch": 0.18,
|
| 2522 |
+
"grad_norm": 23.297748565673828,
|
| 2523 |
+
"learning_rate": 6.511111111111111e-07,
|
| 2524 |
+
"loss": 0.5721,
|
| 2525 |
+
"step": 3560
|
| 2526 |
+
},
|
| 2527 |
+
{
|
| 2528 |
+
"epoch": 0.18,
|
| 2529 |
+
"grad_norm": 63.63188171386719,
|
| 2530 |
+
"learning_rate": 6.5010101010101e-07,
|
| 2531 |
+
"loss": 0.6361,
|
| 2532 |
+
"step": 3570
|
| 2533 |
+
},
|
| 2534 |
+
{
|
| 2535 |
+
"epoch": 0.18,
|
| 2536 |
+
"grad_norm": 38.485416412353516,
|
| 2537 |
+
"learning_rate": 6.49090909090909e-07,
|
| 2538 |
+
"loss": 0.4438,
|
| 2539 |
+
"step": 3580
|
| 2540 |
+
},
|
| 2541 |
+
{
|
| 2542 |
+
"epoch": 0.18,
|
| 2543 |
+
"grad_norm": 40.09241485595703,
|
| 2544 |
+
"learning_rate": 6.48080808080808e-07,
|
| 2545 |
+
"loss": 0.732,
|
| 2546 |
+
"step": 3590
|
| 2547 |
+
},
|
| 2548 |
+
{
|
| 2549 |
+
"epoch": 0.18,
|
| 2550 |
+
"grad_norm": 49.900917053222656,
|
| 2551 |
+
"learning_rate": 6.47070707070707e-07,
|
| 2552 |
+
"loss": 0.6085,
|
| 2553 |
+
"step": 3600
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"epoch": 0.18,
|
| 2557 |
+
"grad_norm": 26.581472396850586,
|
| 2558 |
+
"learning_rate": 6.46060606060606e-07,
|
| 2559 |
+
"loss": 0.7013,
|
| 2560 |
+
"step": 3610
|
| 2561 |
+
},
|
| 2562 |
+
{
|
| 2563 |
+
"epoch": 0.18,
|
| 2564 |
+
"grad_norm": 9.770761489868164,
|
| 2565 |
+
"learning_rate": 6.450505050505051e-07,
|
| 2566 |
+
"loss": 0.4664,
|
| 2567 |
+
"step": 3620
|
| 2568 |
+
},
|
| 2569 |
+
{
|
| 2570 |
+
"epoch": 0.18,
|
| 2571 |
+
"grad_norm": 31.70376205444336,
|
| 2572 |
+
"learning_rate": 6.44040404040404e-07,
|
| 2573 |
+
"loss": 0.6208,
|
| 2574 |
+
"step": 3630
|
| 2575 |
+
},
|
| 2576 |
+
{
|
| 2577 |
+
"epoch": 0.18,
|
| 2578 |
+
"grad_norm": 37.74061965942383,
|
| 2579 |
+
"learning_rate": 6.430303030303031e-07,
|
| 2580 |
+
"loss": 0.6137,
|
| 2581 |
+
"step": 3640
|
| 2582 |
+
},
|
| 2583 |
+
{
|
| 2584 |
+
"epoch": 0.18,
|
| 2585 |
+
"grad_norm": 33.57075119018555,
|
| 2586 |
+
"learning_rate": 6.42020202020202e-07,
|
| 2587 |
+
"loss": 0.591,
|
| 2588 |
+
"step": 3650
|
| 2589 |
+
},
|
| 2590 |
+
{
|
| 2591 |
+
"epoch": 0.18,
|
| 2592 |
+
"grad_norm": 52.23899841308594,
|
| 2593 |
+
"learning_rate": 6.41010101010101e-07,
|
| 2594 |
+
"loss": 0.8013,
|
| 2595 |
+
"step": 3660
|
| 2596 |
+
},
|
| 2597 |
+
{
|
| 2598 |
+
"epoch": 0.18,
|
| 2599 |
+
"grad_norm": 62.8396110534668,
|
| 2600 |
+
"learning_rate": 6.4e-07,
|
| 2601 |
+
"loss": 0.7005,
|
| 2602 |
+
"step": 3670
|
| 2603 |
+
},
|
| 2604 |
+
{
|
| 2605 |
+
"epoch": 0.18,
|
| 2606 |
+
"grad_norm": 36.724098205566406,
|
| 2607 |
+
"learning_rate": 6.38989898989899e-07,
|
| 2608 |
+
"loss": 0.8353,
|
| 2609 |
+
"step": 3680
|
| 2610 |
+
},
|
| 2611 |
+
{
|
| 2612 |
+
"epoch": 0.18,
|
| 2613 |
+
"grad_norm": 2.098162889480591,
|
| 2614 |
+
"learning_rate": 6.379797979797979e-07,
|
| 2615 |
+
"loss": 0.5307,
|
| 2616 |
+
"step": 3690
|
| 2617 |
+
},
|
| 2618 |
+
{
|
| 2619 |
+
"epoch": 0.18,
|
| 2620 |
+
"grad_norm": 41.13184356689453,
|
| 2621 |
+
"learning_rate": 6.36969696969697e-07,
|
| 2622 |
+
"loss": 0.5198,
|
| 2623 |
+
"step": 3700
|
| 2624 |
+
},
|
| 2625 |
+
{
|
| 2626 |
+
"epoch": 0.19,
|
| 2627 |
+
"grad_norm": 46.46861267089844,
|
| 2628 |
+
"learning_rate": 6.359595959595959e-07,
|
| 2629 |
+
"loss": 0.4319,
|
| 2630 |
+
"step": 3710
|
| 2631 |
+
},
|
| 2632 |
+
{
|
| 2633 |
+
"epoch": 0.19,
|
| 2634 |
+
"grad_norm": 65.68028259277344,
|
| 2635 |
+
"learning_rate": 6.349494949494949e-07,
|
| 2636 |
+
"loss": 0.5386,
|
| 2637 |
+
"step": 3720
|
| 2638 |
+
},
|
| 2639 |
+
{
|
| 2640 |
+
"epoch": 0.19,
|
| 2641 |
+
"grad_norm": 5.740784168243408,
|
| 2642 |
+
"learning_rate": 6.339393939393939e-07,
|
| 2643 |
+
"loss": 0.6834,
|
| 2644 |
+
"step": 3730
|
| 2645 |
+
},
|
| 2646 |
+
{
|
| 2647 |
+
"epoch": 0.19,
|
| 2648 |
+
"grad_norm": 15.918974876403809,
|
| 2649 |
+
"learning_rate": 6.329292929292928e-07,
|
| 2650 |
+
"loss": 0.6303,
|
| 2651 |
+
"step": 3740
|
| 2652 |
+
},
|
| 2653 |
+
{
|
| 2654 |
+
"epoch": 0.19,
|
| 2655 |
+
"grad_norm": 5.351881980895996,
|
| 2656 |
+
"learning_rate": 6.319191919191919e-07,
|
| 2657 |
+
"loss": 0.3967,
|
| 2658 |
+
"step": 3750
|
| 2659 |
+
},
|
| 2660 |
+
{
|
| 2661 |
+
"epoch": 0.19,
|
| 2662 |
+
"grad_norm": 76.57394409179688,
|
| 2663 |
+
"learning_rate": 6.309090909090908e-07,
|
| 2664 |
+
"loss": 0.5537,
|
| 2665 |
+
"step": 3760
|
| 2666 |
+
},
|
| 2667 |
+
{
|
| 2668 |
+
"epoch": 0.19,
|
| 2669 |
+
"grad_norm": 17.062864303588867,
|
| 2670 |
+
"learning_rate": 6.298989898989898e-07,
|
| 2671 |
+
"loss": 0.6029,
|
| 2672 |
+
"step": 3770
|
| 2673 |
+
},
|
| 2674 |
+
{
|
| 2675 |
+
"epoch": 0.19,
|
| 2676 |
+
"grad_norm": 39.9703254699707,
|
| 2677 |
+
"learning_rate": 6.288888888888889e-07,
|
| 2678 |
+
"loss": 0.3583,
|
| 2679 |
+
"step": 3780
|
| 2680 |
+
},
|
| 2681 |
+
{
|
| 2682 |
+
"epoch": 0.19,
|
| 2683 |
+
"grad_norm": 61.81090545654297,
|
| 2684 |
+
"learning_rate": 6.278787878787879e-07,
|
| 2685 |
+
"loss": 0.5372,
|
| 2686 |
+
"step": 3790
|
| 2687 |
+
},
|
| 2688 |
+
{
|
| 2689 |
+
"epoch": 0.19,
|
| 2690 |
+
"grad_norm": 25.4251708984375,
|
| 2691 |
+
"learning_rate": 6.268686868686869e-07,
|
| 2692 |
+
"loss": 0.4157,
|
| 2693 |
+
"step": 3800
|
| 2694 |
+
},
|
| 2695 |
+
{
|
| 2696 |
+
"epoch": 0.19,
|
| 2697 |
+
"grad_norm": 3.276371479034424,
|
| 2698 |
+
"learning_rate": 6.258585858585859e-07,
|
| 2699 |
+
"loss": 0.6531,
|
| 2700 |
+
"step": 3810
|
| 2701 |
+
},
|
| 2702 |
+
{
|
| 2703 |
+
"epoch": 0.19,
|
| 2704 |
+
"grad_norm": 47.67403030395508,
|
| 2705 |
+
"learning_rate": 6.248484848484848e-07,
|
| 2706 |
+
"loss": 0.6813,
|
| 2707 |
+
"step": 3820
|
| 2708 |
+
},
|
| 2709 |
+
{
|
| 2710 |
+
"epoch": 0.19,
|
| 2711 |
+
"grad_norm": 13.192293167114258,
|
| 2712 |
+
"learning_rate": 6.238383838383839e-07,
|
| 2713 |
+
"loss": 0.4612,
|
| 2714 |
+
"step": 3830
|
| 2715 |
+
},
|
| 2716 |
+
{
|
| 2717 |
+
"epoch": 0.19,
|
| 2718 |
+
"grad_norm": 0.580405056476593,
|
| 2719 |
+
"learning_rate": 6.228282828282828e-07,
|
| 2720 |
+
"loss": 0.3817,
|
| 2721 |
+
"step": 3840
|
| 2722 |
+
},
|
| 2723 |
+
{
|
| 2724 |
+
"epoch": 0.19,
|
| 2725 |
+
"grad_norm": 17.856048583984375,
|
| 2726 |
+
"learning_rate": 6.218181818181817e-07,
|
| 2727 |
+
"loss": 0.7929,
|
| 2728 |
+
"step": 3850
|
| 2729 |
+
},
|
| 2730 |
+
{
|
| 2731 |
+
"epoch": 0.19,
|
| 2732 |
+
"grad_norm": 33.620033264160156,
|
| 2733 |
+
"learning_rate": 6.208080808080808e-07,
|
| 2734 |
+
"loss": 0.5922,
|
| 2735 |
+
"step": 3860
|
| 2736 |
+
},
|
| 2737 |
+
{
|
| 2738 |
+
"epoch": 0.19,
|
| 2739 |
+
"grad_norm": 33.94918441772461,
|
| 2740 |
+
"learning_rate": 6.197979797979797e-07,
|
| 2741 |
+
"loss": 0.4963,
|
| 2742 |
+
"step": 3870
|
| 2743 |
+
},
|
| 2744 |
+
{
|
| 2745 |
+
"epoch": 0.19,
|
| 2746 |
+
"grad_norm": 15.053759574890137,
|
| 2747 |
+
"learning_rate": 6.187878787878788e-07,
|
| 2748 |
+
"loss": 0.6975,
|
| 2749 |
+
"step": 3880
|
| 2750 |
+
},
|
| 2751 |
+
{
|
| 2752 |
+
"epoch": 0.19,
|
| 2753 |
+
"grad_norm": 44.79494857788086,
|
| 2754 |
+
"learning_rate": 6.177777777777777e-07,
|
| 2755 |
+
"loss": 0.6962,
|
| 2756 |
+
"step": 3890
|
| 2757 |
+
},
|
| 2758 |
+
{
|
| 2759 |
+
"epoch": 0.2,
|
| 2760 |
+
"grad_norm": 9.810379028320312,
|
| 2761 |
+
"learning_rate": 6.167676767676767e-07,
|
| 2762 |
+
"loss": 0.3916,
|
| 2763 |
+
"step": 3900
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"epoch": 0.2,
|
| 2767 |
+
"grad_norm": 54.83355712890625,
|
| 2768 |
+
"learning_rate": 6.157575757575757e-07,
|
| 2769 |
+
"loss": 0.6929,
|
| 2770 |
+
"step": 3910
|
| 2771 |
+
},
|
| 2772 |
+
{
|
| 2773 |
+
"epoch": 0.2,
|
| 2774 |
+
"grad_norm": 20.908220291137695,
|
| 2775 |
+
"learning_rate": 6.147474747474747e-07,
|
| 2776 |
+
"loss": 0.7343,
|
| 2777 |
+
"step": 3920
|
| 2778 |
+
},
|
| 2779 |
+
{
|
| 2780 |
+
"epoch": 0.2,
|
| 2781 |
+
"grad_norm": 48.0946044921875,
|
| 2782 |
+
"learning_rate": 6.137373737373736e-07,
|
| 2783 |
+
"loss": 0.5088,
|
| 2784 |
+
"step": 3930
|
| 2785 |
+
},
|
| 2786 |
+
{
|
| 2787 |
+
"epoch": 0.2,
|
| 2788 |
+
"grad_norm": 37.02779006958008,
|
| 2789 |
+
"learning_rate": 6.127272727272727e-07,
|
| 2790 |
+
"loss": 0.5441,
|
| 2791 |
+
"step": 3940
|
| 2792 |
+
},
|
| 2793 |
+
{
|
| 2794 |
+
"epoch": 0.2,
|
| 2795 |
+
"grad_norm": 16.095773696899414,
|
| 2796 |
+
"learning_rate": 6.117171717171717e-07,
|
| 2797 |
+
"loss": 0.7542,
|
| 2798 |
+
"step": 3950
|
| 2799 |
+
},
|
| 2800 |
+
{
|
| 2801 |
+
"epoch": 0.2,
|
| 2802 |
+
"grad_norm": 48.33674621582031,
|
| 2803 |
+
"learning_rate": 6.107070707070708e-07,
|
| 2804 |
+
"loss": 0.4938,
|
| 2805 |
+
"step": 3960
|
| 2806 |
+
},
|
| 2807 |
+
{
|
| 2808 |
+
"epoch": 0.2,
|
| 2809 |
+
"grad_norm": 33.02685546875,
|
| 2810 |
+
"learning_rate": 6.096969696969697e-07,
|
| 2811 |
+
"loss": 0.6449,
|
| 2812 |
+
"step": 3970
|
| 2813 |
+
},
|
| 2814 |
+
{
|
| 2815 |
+
"epoch": 0.2,
|
| 2816 |
+
"grad_norm": 18.588003158569336,
|
| 2817 |
+
"learning_rate": 6.086868686868687e-07,
|
| 2818 |
+
"loss": 0.3599,
|
| 2819 |
+
"step": 3980
|
| 2820 |
+
},
|
| 2821 |
+
{
|
| 2822 |
+
"epoch": 0.2,
|
| 2823 |
+
"grad_norm": 46.80269241333008,
|
| 2824 |
+
"learning_rate": 6.076767676767677e-07,
|
| 2825 |
+
"loss": 0.5536,
|
| 2826 |
+
"step": 3990
|
| 2827 |
+
},
|
| 2828 |
+
{
|
| 2829 |
+
"epoch": 0.2,
|
| 2830 |
+
"grad_norm": 29.706817626953125,
|
| 2831 |
+
"learning_rate": 6.066666666666666e-07,
|
| 2832 |
+
"loss": 0.6733,
|
| 2833 |
+
"step": 4000
|
| 2834 |
+
},
|
| 2835 |
+
{
|
| 2836 |
+
"epoch": 0.2,
|
| 2837 |
+
"eval_loss": 0.5796153545379639,
|
| 2838 |
+
"eval_runtime": 272.8278,
|
| 2839 |
+
"eval_samples_per_second": 3.665,
|
| 2840 |
+
"eval_steps_per_second": 3.665,
|
| 2841 |
+
"step": 4000
|
| 2842 |
+
}
|
| 2843 |
+
],
|
| 2844 |
+
"logging_steps": 10,
|
| 2845 |
+
"max_steps": 10000,
|
| 2846 |
+
"num_input_tokens_seen": 0,
|
| 2847 |
+
"num_train_epochs": 1,
|
| 2848 |
+
"save_steps": 2000,
|
| 2849 |
+
"total_flos": 1.88564197343232e+17,
|
| 2850 |
+
"train_batch_size": 1,
|
| 2851 |
+
"trial_name": null,
|
| 2852 |
+
"trial_params": null
|
| 2853 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:01a8cb5e2b6b3a37c7865550e33535f27e6d809c12560726f8d0484265c26dae
|
| 3 |
+
size 4856
|