akashdutta1030hr commited on
Upload checkpoint-2800
Browse files- checkpoint-2800/README.md +207 -0
- checkpoint-2800/adapter_config.json +46 -0
- checkpoint-2800/adapter_model.safetensors +3 -0
- checkpoint-2800/optimizer.pt +3 -0
- checkpoint-2800/rng_state.pth +3 -0
- checkpoint-2800/scheduler.pt +3 -0
- checkpoint-2800/trainer_state.json +587 -0
- checkpoint-2800/training_args.bin +3 -0
checkpoint-2800/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.3
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:mistralai/Mistral-7B-Instruct-v0.3
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.18.1
|
checkpoint-2800/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 128,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 64,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"q_proj",
|
| 33 |
+
"down_proj",
|
| 34 |
+
"k_proj",
|
| 35 |
+
"v_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"up_proj",
|
| 38 |
+
"gate_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
checkpoint-2800/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:07a886b6e0d976c8bb951f7bd286b673ad04363fb14912c5ff382d1b22cc8498
|
| 3 |
+
size 671149168
|
checkpoint-2800/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e43c4c6cb09ac7a260bc0fe774306af9610aedf4447bb49495f1de443141e729
|
| 3 |
+
size 1342556067
|
checkpoint-2800/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1076ff8345a401c3d639beb210c99dc3bdef8584974951071dbe034e33f5ab9
|
| 3 |
+
size 14645
|
checkpoint-2800/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e4da4a97427652708bdf6111edbb3e7cc9da715a788645ca96ee715c06b970d7
|
| 3 |
+
size 1465
|
checkpoint-2800/trainer_state.json
ADDED
|
@@ -0,0 +1,587 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 2400,
|
| 3 |
+
"best_metric": 0.0005870505119673908,
|
| 4 |
+
"best_model_checkpoint": "/teamspace/studios/this_studio/babelbit_subnet/fine_tuning/fine_tuned_model/checkpoint-2400",
|
| 5 |
+
"epoch": 0.8208736440926414,
|
| 6 |
+
"eval_steps": 400,
|
| 7 |
+
"global_step": 2800,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0002931691586045148,
|
| 14 |
+
"grad_norm": 43.559349060058594,
|
| 15 |
+
"learning_rate": 0.0,
|
| 16 |
+
"loss": 4.008677005767822,
|
| 17 |
+
"step": 1
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.011726766344180592,
|
| 21 |
+
"grad_norm": 5.083512783050537,
|
| 22 |
+
"learning_rate": 3.441176470588235e-05,
|
| 23 |
+
"loss": 2.081928546612079,
|
| 24 |
+
"step": 40
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.023453532688361183,
|
| 28 |
+
"grad_norm": 3.502316474914551,
|
| 29 |
+
"learning_rate": 6.970588235294117e-05,
|
| 30 |
+
"loss": 0.5841477394104004,
|
| 31 |
+
"step": 80
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.03518029903254178,
|
| 35 |
+
"grad_norm": 1.958579659461975,
|
| 36 |
+
"learning_rate": 0.00010499999999999999,
|
| 37 |
+
"loss": 0.1729877233505249,
|
| 38 |
+
"step": 120
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.046907065376722366,
|
| 42 |
+
"grad_norm": 2.481795310974121,
|
| 43 |
+
"learning_rate": 0.00014029411764705882,
|
| 44 |
+
"loss": 0.11076121330261231,
|
| 45 |
+
"step": 160
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.05863383172090296,
|
| 49 |
+
"grad_norm": 2.0307629108428955,
|
| 50 |
+
"learning_rate": 0.00014997036940664652,
|
| 51 |
+
"loss": 0.09478345513343811,
|
| 52 |
+
"step": 200
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.07036059806508356,
|
| 56 |
+
"grad_norm": 3.096100091934204,
|
| 57 |
+
"learning_rate": 0.000149832309203345,
|
| 58 |
+
"loss": 0.07846791744232177,
|
| 59 |
+
"step": 240
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.08208736440926415,
|
| 63 |
+
"grad_norm": 1.9483227729797363,
|
| 64 |
+
"learning_rate": 0.00014958176353604654,
|
| 65 |
+
"loss": 0.060368895530700684,
|
| 66 |
+
"step": 280
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.09381413075344473,
|
| 70 |
+
"grad_norm": 1.4381647109985352,
|
| 71 |
+
"learning_rate": 0.0001492191090167512,
|
| 72 |
+
"loss": 0.05132836103439331,
|
| 73 |
+
"step": 320
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.10554089709762533,
|
| 77 |
+
"grad_norm": 2.003787040710449,
|
| 78 |
+
"learning_rate": 0.00014874489077579516,
|
| 79 |
+
"loss": 0.038162732124328615,
|
| 80 |
+
"step": 360
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.11726766344180592,
|
| 84 |
+
"grad_norm": 1.746361255645752,
|
| 85 |
+
"learning_rate": 0.00014815982164242877,
|
| 86 |
+
"loss": 0.03849421143531799,
|
| 87 |
+
"step": 400
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.11726766344180592,
|
| 91 |
+
"eval_loss": 0.038134265691041946,
|
| 92 |
+
"eval_runtime": 118.391,
|
| 93 |
+
"eval_samples_per_second": 25.34,
|
| 94 |
+
"eval_steps_per_second": 0.397,
|
| 95 |
+
"step": 400
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 0.12899442978598652,
|
| 99 |
+
"grad_norm": 1.7420916557312012,
|
| 100 |
+
"learning_rate": 0.00014746478107331503,
|
| 101 |
+
"loss": 0.03215936422348022,
|
| 102 |
+
"step": 440
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 0.14072119613016712,
|
| 106 |
+
"grad_norm": 0.8099127411842346,
|
| 107 |
+
"learning_rate": 0.0001466608138305593,
|
| 108 |
+
"loss": 0.036118283867836,
|
| 109 |
+
"step": 480
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 0.1524479624743477,
|
| 113 |
+
"grad_norm": 0.8463937044143677,
|
| 114 |
+
"learning_rate": 0.00014574912841125735,
|
| 115 |
+
"loss": 0.02772058844566345,
|
| 116 |
+
"step": 520
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.1641747288185283,
|
| 120 |
+
"grad_norm": 1.4317926168441772,
|
| 121 |
+
"learning_rate": 0.00014473109523092218,
|
| 122 |
+
"loss": 0.03340705633163452,
|
| 123 |
+
"step": 560
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.1759014951627089,
|
| 127 |
+
"grad_norm": 1.1950403451919556,
|
| 128 |
+
"learning_rate": 0.00014360824456352068,
|
| 129 |
+
"loss": 0.026682910323143006,
|
| 130 |
+
"step": 600
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.18762826150688947,
|
| 134 |
+
"grad_norm": 1.1593753099441528,
|
| 135 |
+
"learning_rate": 0.00014238226424121607,
|
| 136 |
+
"loss": 0.025203508138656617,
|
| 137 |
+
"step": 640
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.19935502785107007,
|
| 141 |
+
"grad_norm": 0.8555911183357239,
|
| 142 |
+
"learning_rate": 0.00014105499711727421,
|
| 143 |
+
"loss": 0.020846013724803925,
|
| 144 |
+
"step": 680
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.21108179419525067,
|
| 148 |
+
"grad_norm": 0.6693273186683655,
|
| 149 |
+
"learning_rate": 0.00013962843829594718,
|
| 150 |
+
"loss": 0.027437245845794676,
|
| 151 |
+
"step": 720
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.22280856053943124,
|
| 155 |
+
"grad_norm": 0.7442457675933838,
|
| 156 |
+
"learning_rate": 0.00013810473213349823,
|
| 157 |
+
"loss": 0.023819099366664886,
|
| 158 |
+
"step": 760
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.23453532688361184,
|
| 162 |
+
"grad_norm": 1.549141526222229,
|
| 163 |
+
"learning_rate": 0.0001364861690148761,
|
| 164 |
+
"loss": 0.023016569018363953,
|
| 165 |
+
"step": 800
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.23453532688361184,
|
| 169 |
+
"eval_loss": 0.01758711226284504,
|
| 170 |
+
"eval_runtime": 118.9092,
|
| 171 |
+
"eval_samples_per_second": 25.229,
|
| 172 |
+
"eval_steps_per_second": 0.395,
|
| 173 |
+
"step": 800
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.24626209322779244,
|
| 177 |
+
"grad_norm": 1.5536377429962158,
|
| 178 |
+
"learning_rate": 0.00013477518191088372,
|
| 179 |
+
"loss": 0.019894491136074065,
|
| 180 |
+
"step": 840
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.25798885957197304,
|
| 184 |
+
"grad_norm": 1.0129663944244385,
|
| 185 |
+
"learning_rate": 0.00013297434272101653,
|
| 186 |
+
"loss": 0.0211114302277565,
|
| 187 |
+
"step": 880
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 0.2697156259161536,
|
| 191 |
+
"grad_norm": 0.8885933756828308,
|
| 192 |
+
"learning_rate": 0.00013108635840746794,
|
| 193 |
+
"loss": 0.018417330086231233,
|
| 194 |
+
"step": 920
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.28144239226033424,
|
| 198 |
+
"grad_norm": 1.6976070404052734,
|
| 199 |
+
"learning_rate": 0.00012911406692611276,
|
| 200 |
+
"loss": 0.015649670362472536,
|
| 201 |
+
"step": 960
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.2931691586045148,
|
| 205 |
+
"grad_norm": 0.6338196992874146,
|
| 206 |
+
"learning_rate": 0.00012706043296058535,
|
| 207 |
+
"loss": 0.01551155149936676,
|
| 208 |
+
"step": 1000
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 0.3048959249486954,
|
| 212 |
+
"grad_norm": 1.0486029386520386,
|
| 213 |
+
"learning_rate": 0.00012492854346586474,
|
| 214 |
+
"loss": 0.01913151741027832,
|
| 215 |
+
"step": 1040
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 0.316622691292876,
|
| 219 |
+
"grad_norm": 0.7225141525268555,
|
| 220 |
+
"learning_rate": 0.0001227216030280657,
|
| 221 |
+
"loss": 0.013545043766498566,
|
| 222 |
+
"step": 1080
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 0.3283494576370566,
|
| 226 |
+
"grad_norm": 0.580845296382904,
|
| 227 |
+
"learning_rate": 0.00012044292904741017,
|
| 228 |
+
"loss": 0.016849875450134277,
|
| 229 |
+
"step": 1120
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 0.34007622398123716,
|
| 233 |
+
"grad_norm": 0.8325299620628357,
|
| 234 |
+
"learning_rate": 0.00011809594675162047,
|
| 235 |
+
"loss": 0.01370435655117035,
|
| 236 |
+
"step": 1160
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.3518029903254178,
|
| 240 |
+
"grad_norm": 0.3401944935321808,
|
| 241 |
+
"learning_rate": 0.00011568418404722986,
|
| 242 |
+
"loss": 0.015542632341384888,
|
| 243 |
+
"step": 1200
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.3518029903254178,
|
| 247 |
+
"eval_loss": 0.014328152872622013,
|
| 248 |
+
"eval_runtime": 118.9292,
|
| 249 |
+
"eval_samples_per_second": 25.225,
|
| 250 |
+
"eval_steps_per_second": 0.395,
|
| 251 |
+
"step": 1200
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.36352975666959836,
|
| 255 |
+
"grad_norm": 0.6271896958351135,
|
| 256 |
+
"learning_rate": 0.00011321126621654943,
|
| 257 |
+
"loss": 0.015300735831260681,
|
| 258 |
+
"step": 1240
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 0.37525652301377893,
|
| 262 |
+
"grad_norm": 0.4456956386566162,
|
| 263 |
+
"learning_rate": 0.0001106809104682631,
|
| 264 |
+
"loss": 0.014234989881515503,
|
| 265 |
+
"step": 1280
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"epoch": 0.38698328935795956,
|
| 269 |
+
"grad_norm": 0.998362123966217,
|
| 270 |
+
"learning_rate": 0.00010809692034984195,
|
| 271 |
+
"loss": 0.01505913883447647,
|
| 272 |
+
"step": 1320
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.39871005570214013,
|
| 276 |
+
"grad_norm": 0.4294905960559845,
|
| 277 |
+
"learning_rate": 0.00010546318003017679,
|
| 278 |
+
"loss": 0.012111823260784148,
|
| 279 |
+
"step": 1360
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.4104368220463207,
|
| 283 |
+
"grad_norm": 0.5016237497329712,
|
| 284 |
+
"learning_rate": 0.0001027836484610233,
|
| 285 |
+
"loss": 0.00968373790383339,
|
| 286 |
+
"step": 1400
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 0.42216358839050133,
|
| 290 |
+
"grad_norm": 0.27540159225463867,
|
| 291 |
+
"learning_rate": 0.00010006235342603619,
|
| 292 |
+
"loss": 0.009536398947238922,
|
| 293 |
+
"step": 1440
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"epoch": 0.4338903547346819,
|
| 297 |
+
"grad_norm": 0.5711538195610046,
|
| 298 |
+
"learning_rate": 9.730338548633727e-05,
|
| 299 |
+
"loss": 0.00791691243648529,
|
| 300 |
+
"step": 1480
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.4456171210788625,
|
| 304 |
+
"grad_norm": 0.9562460780143738,
|
| 305 |
+
"learning_rate": 9.451089183171864e-05,
|
| 306 |
+
"loss": 0.008764408528804779,
|
| 307 |
+
"step": 1520
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 0.4573438874230431,
|
| 311 |
+
"grad_norm": 0.9730703830718994,
|
| 312 |
+
"learning_rate": 9.168907004672357e-05,
|
| 313 |
+
"loss": 0.007990501075983047,
|
| 314 |
+
"step": 1560
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.4690706537672237,
|
| 318 |
+
"grad_norm": 0.18848198652267456,
|
| 319 |
+
"learning_rate": 8.884216180097555e-05,
|
| 320 |
+
"loss": 0.00934477597475052,
|
| 321 |
+
"step": 1600
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.4690706537672237,
|
| 325 |
+
"eval_loss": 0.006604915019124746,
|
| 326 |
+
"eval_runtime": 118.4852,
|
| 327 |
+
"eval_samples_per_second": 25.32,
|
| 328 |
+
"eval_steps_per_second": 0.397,
|
| 329 |
+
"step": 1600
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.4807974201114043,
|
| 333 |
+
"grad_norm": 0.6266851425170898,
|
| 334 |
+
"learning_rate": 8.597444647324009e-05,
|
| 335 |
+
"loss": 0.006417373567819596,
|
| 336 |
+
"step": 1640
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.4925241864555849,
|
| 340 |
+
"grad_norm": 0.21216364204883575,
|
| 341 |
+
"learning_rate": 8.309023471880348e-05,
|
| 342 |
+
"loss": 0.006610769033432007,
|
| 343 |
+
"step": 1680
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"epoch": 0.5042509527997655,
|
| 347 |
+
"grad_norm": 2.0486185550689697,
|
| 348 |
+
"learning_rate": 8.019386198983758e-05,
|
| 349 |
+
"loss": 0.00791747197508812,
|
| 350 |
+
"step": 1720
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 0.5159777191439461,
|
| 354 |
+
"grad_norm": 0.2129010707139969,
|
| 355 |
+
"learning_rate": 7.728968201849093e-05,
|
| 356 |
+
"loss": 0.006276130676269531,
|
| 357 |
+
"step": 1760
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 0.5277044854881267,
|
| 361 |
+
"grad_norm": 0.08439075201749802,
|
| 362 |
+
"learning_rate": 7.438206027250177e-05,
|
| 363 |
+
"loss": 0.0074318073689937595,
|
| 364 |
+
"step": 1800
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 0.5394312518323072,
|
| 368 |
+
"grad_norm": 0.7030367851257324,
|
| 369 |
+
"learning_rate": 7.147536739317074e-05,
|
| 370 |
+
"loss": 0.00571923591196537,
|
| 371 |
+
"step": 1840
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 0.5511580181764878,
|
| 375 |
+
"grad_norm": 0.059659577906131744,
|
| 376 |
+
"learning_rate": 6.857397262555668e-05,
|
| 377 |
+
"loss": 0.00438249409198761,
|
| 378 |
+
"step": 1880
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 0.5628847845206685,
|
| 382 |
+
"grad_norm": 0.7191227674484253,
|
| 383 |
+
"learning_rate": 6.568223725077127e-05,
|
| 384 |
+
"loss": 0.0035727649927139284,
|
| 385 |
+
"step": 1920
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 0.574611550864849,
|
| 389 |
+
"grad_norm": 0.02408078871667385,
|
| 390 |
+
"learning_rate": 6.280450803024491e-05,
|
| 391 |
+
"loss": 0.003369823470711708,
|
| 392 |
+
"step": 1960
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 0.5863383172090296,
|
| 396 |
+
"grad_norm": 0.02398761175572872,
|
| 397 |
+
"learning_rate": 5.9945110671817837e-05,
|
| 398 |
+
"loss": 0.0040720771998167034,
|
| 399 |
+
"step": 2000
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 0.5863383172090296,
|
| 403 |
+
"eval_loss": 0.0030416157096624374,
|
| 404 |
+
"eval_runtime": 118.8722,
|
| 405 |
+
"eval_samples_per_second": 25.237,
|
| 406 |
+
"eval_steps_per_second": 0.395,
|
| 407 |
+
"step": 2000
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 0.5980650835532102,
|
| 411 |
+
"grad_norm": 0.41269710659980774,
|
| 412 |
+
"learning_rate": 5.710834332747869e-05,
|
| 413 |
+
"loss": 0.002919718809425831,
|
| 414 |
+
"step": 2040
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 0.6097918498973908,
|
| 418 |
+
"grad_norm": 0.01964852400124073,
|
| 419 |
+
"learning_rate": 5.429847013252379e-05,
|
| 420 |
+
"loss": 0.002656937576830387,
|
| 421 |
+
"step": 2080
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 0.6215186162415713,
|
| 425 |
+
"grad_norm": 0.031229661777615547,
|
| 426 |
+
"learning_rate": 5.151971479584932e-05,
|
| 427 |
+
"loss": 0.002006498910486698,
|
| 428 |
+
"step": 2120
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.633245382585752,
|
| 432 |
+
"grad_norm": 0.011124704033136368,
|
| 433 |
+
"learning_rate": 4.877625425101128e-05,
|
| 434 |
+
"loss": 0.0015863856300711633,
|
| 435 |
+
"step": 2160
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.6449721489299326,
|
| 439 |
+
"grad_norm": 0.033897917717695236,
|
| 440 |
+
"learning_rate": 4.6072212377596265e-05,
|
| 441 |
+
"loss": 0.0018350031226873399,
|
| 442 |
+
"step": 2200
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 0.6566989152741132,
|
| 446 |
+
"grad_norm": 0.02892870455980301,
|
| 447 |
+
"learning_rate": 4.341165380234153e-05,
|
| 448 |
+
"loss": 0.002636190317571163,
|
| 449 |
+
"step": 2240
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 0.6684256816182937,
|
| 453 |
+
"grad_norm": 0.4343509376049042,
|
| 454 |
+
"learning_rate": 4.079857778932183e-05,
|
| 455 |
+
"loss": 0.0015448774211108685,
|
| 456 |
+
"step": 2280
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 0.6801524479624743,
|
| 460 |
+
"grad_norm": 0.000846753129735589,
|
| 461 |
+
"learning_rate": 3.8236912228387336e-05,
|
| 462 |
+
"loss": 0.0016993751749396324,
|
| 463 |
+
"step": 2320
|
| 464 |
+
},
|
| 465 |
+
{
|
| 466 |
+
"epoch": 0.6918792143066549,
|
| 467 |
+
"grad_norm": 0.0007521796505898237,
|
| 468 |
+
"learning_rate": 3.5730507730888866e-05,
|
| 469 |
+
"loss": 0.0016655514016747474,
|
| 470 |
+
"step": 2360
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 0.7036059806508356,
|
| 474 |
+
"grad_norm": 0.0009733244660310447,
|
| 475 |
+
"learning_rate": 3.3283131841565666e-05,
|
| 476 |
+
"loss": 0.0009765046648681164,
|
| 477 |
+
"step": 2400
|
| 478 |
+
},
|
| 479 |
+
{
|
| 480 |
+
"epoch": 0.7036059806508356,
|
| 481 |
+
"eval_loss": 0.0005870505119673908,
|
| 482 |
+
"eval_runtime": 118.5212,
|
| 483 |
+
"eval_samples_per_second": 25.312,
|
| 484 |
+
"eval_steps_per_second": 0.397,
|
| 485 |
+
"step": 2400
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.7153327469950161,
|
| 489 |
+
"grad_norm": 0.027489736676216125,
|
| 490 |
+
"learning_rate": 3.0898463375296177e-05,
|
| 491 |
+
"loss": 0.0011569580994546414,
|
| 492 |
+
"step": 2440
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.7270595133391967,
|
| 496 |
+
"grad_norm": 0.046325016766786575,
|
| 497 |
+
"learning_rate": 2.858008688722459e-05,
|
| 498 |
+
"loss": 0.0013216907158493997,
|
| 499 |
+
"step": 2480
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.7387862796833773,
|
| 503 |
+
"grad_norm": 0.02714281715452671,
|
| 504 |
+
"learning_rate": 2.633148728457559e-05,
|
| 505 |
+
"loss": 0.0012528580613434316,
|
| 506 |
+
"step": 2520
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.7505130460275579,
|
| 510 |
+
"grad_norm": 0.0002981104771606624,
|
| 511 |
+
"learning_rate": 2.4156044588256444e-05,
|
| 512 |
+
"loss": 0.0014589527621865273,
|
| 513 |
+
"step": 2560
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.7622398123717385,
|
| 517 |
+
"grad_norm": 0.01814473792910576,
|
| 518 |
+
"learning_rate": 2.205702885212089e-05,
|
| 519 |
+
"loss": 0.001150271575897932,
|
| 520 |
+
"step": 2600
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.7739665787159191,
|
| 524 |
+
"grad_norm": 0.01796521432697773,
|
| 525 |
+
"learning_rate": 2.0037595247531785e-05,
|
| 526 |
+
"loss": 0.0013310986571013928,
|
| 527 |
+
"step": 2640
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.7856933450600997,
|
| 531 |
+
"grad_norm": 0.00035329945967532694,
|
| 532 |
+
"learning_rate": 1.8100779320611414e-05,
|
| 533 |
+
"loss": 0.0012294369749724864,
|
| 534 |
+
"step": 2680
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.7974201114042803,
|
| 538 |
+
"grad_norm": 0.05966802313923836,
|
| 539 |
+
"learning_rate": 1.6249492429308447e-05,
|
| 540 |
+
"loss": 0.0012903042137622834,
|
| 541 |
+
"step": 2720
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.8091468777484608,
|
| 545 |
+
"grad_norm": 0.02376306802034378,
|
| 546 |
+
"learning_rate": 1.4486517367140487e-05,
|
| 547 |
+
"loss": 0.0011631318368017674,
|
| 548 |
+
"step": 2760
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.8208736440926414,
|
| 552 |
+
"grad_norm": 0.0003119863395113498,
|
| 553 |
+
"learning_rate": 1.2814504180190527e-05,
|
| 554 |
+
"loss": 0.0007505270652472973,
|
| 555 |
+
"step": 2800
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.8208736440926414,
|
| 559 |
+
"eval_loss": 0.0006108254310674965,
|
| 560 |
+
"eval_runtime": 118.5259,
|
| 561 |
+
"eval_samples_per_second": 25.311,
|
| 562 |
+
"eval_steps_per_second": 0.397,
|
| 563 |
+
"step": 2800
|
| 564 |
+
}
|
| 565 |
+
],
|
| 566 |
+
"logging_steps": 40,
|
| 567 |
+
"max_steps": 3411,
|
| 568 |
+
"num_input_tokens_seen": 0,
|
| 569 |
+
"num_train_epochs": 1,
|
| 570 |
+
"save_steps": 400,
|
| 571 |
+
"stateful_callbacks": {
|
| 572 |
+
"TrainerControl": {
|
| 573 |
+
"args": {
|
| 574 |
+
"should_epoch_stop": false,
|
| 575 |
+
"should_evaluate": false,
|
| 576 |
+
"should_log": false,
|
| 577 |
+
"should_save": true,
|
| 578 |
+
"should_training_stop": false
|
| 579 |
+
},
|
| 580 |
+
"attributes": {}
|
| 581 |
+
}
|
| 582 |
+
},
|
| 583 |
+
"total_flos": 2.0915916835305554e+18,
|
| 584 |
+
"train_batch_size": 64,
|
| 585 |
+
"trial_name": null,
|
| 586 |
+
"trial_params": null
|
| 587 |
+
}
|
checkpoint-2800/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1a343dc0aa1250342469e95ce09c988b54358c1cde638fcda5ffb04d9f6b4026
|
| 3 |
+
size 5265
|