Upload 11 files
Browse files- README.md +209 -0
- adapter_config.json +41 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +54 -0
- tokenizer.json +0 -0
- tokenizer_config.json +81 -0
- trainer_state.json +594 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-v0.1
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:mistralai/Mistral-7B-v0.1
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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-v0.1",
|
| 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": 16,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.1,
|
| 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": 32,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"v_proj",
|
| 33 |
+
"q_proj"
|
| 34 |
+
],
|
| 35 |
+
"target_parameters": null,
|
| 36 |
+
"task_type": "CAUSAL_LM",
|
| 37 |
+
"trainable_token_indices": null,
|
| 38 |
+
"use_dora": false,
|
| 39 |
+
"use_qalora": false,
|
| 40 |
+
"use_rslora": false
|
| 41 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45a1406b146fbb26c8e7e69a970142356ff2bbf979551ab848ccb2bdb6d6ab5a
|
| 3 |
+
size 551634040
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a16342584d17efac5145c50d9165bab082754d70c4cd11f889d638874f06af9
|
| 3 |
+
size 109130618
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d09ce2b6e37a9d9c8c7d4e22f7a724d231f482b130612876f5faa0f15ebb3de9
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4a9b3bb4e458b1d27f96bde8ed8a0ace6ffbcd98ee8a8b1000c43f4118d5a30e
|
| 3 |
+
size 1064
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
{
|
| 4 |
+
"content": "<|think|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
{
|
| 11 |
+
"content": "<|/think|>",
|
| 12 |
+
"lstrip": false,
|
| 13 |
+
"normalized": false,
|
| 14 |
+
"rstrip": false,
|
| 15 |
+
"single_word": false
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"content": "<|story|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"content": "<|/story|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
],
|
| 32 |
+
"bos_token": {
|
| 33 |
+
"content": "<s>",
|
| 34 |
+
"lstrip": false,
|
| 35 |
+
"normalized": false,
|
| 36 |
+
"rstrip": false,
|
| 37 |
+
"single_word": false
|
| 38 |
+
},
|
| 39 |
+
"eos_token": {
|
| 40 |
+
"content": "</s>",
|
| 41 |
+
"lstrip": false,
|
| 42 |
+
"normalized": false,
|
| 43 |
+
"rstrip": false,
|
| 44 |
+
"single_word": false
|
| 45 |
+
},
|
| 46 |
+
"pad_token": "</s>",
|
| 47 |
+
"unk_token": {
|
| 48 |
+
"content": "<unk>",
|
| 49 |
+
"lstrip": false,
|
| 50 |
+
"normalized": false,
|
| 51 |
+
"rstrip": false,
|
| 52 |
+
"single_word": false
|
| 53 |
+
}
|
| 54 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
},
|
| 30 |
+
"32000": {
|
| 31 |
+
"content": "<|think|>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": false,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false,
|
| 36 |
+
"special": true
|
| 37 |
+
},
|
| 38 |
+
"32001": {
|
| 39 |
+
"content": "<|/think|>",
|
| 40 |
+
"lstrip": false,
|
| 41 |
+
"normalized": false,
|
| 42 |
+
"rstrip": false,
|
| 43 |
+
"single_word": false,
|
| 44 |
+
"special": true
|
| 45 |
+
},
|
| 46 |
+
"32002": {
|
| 47 |
+
"content": "<|story|>",
|
| 48 |
+
"lstrip": false,
|
| 49 |
+
"normalized": false,
|
| 50 |
+
"rstrip": false,
|
| 51 |
+
"single_word": false,
|
| 52 |
+
"special": true
|
| 53 |
+
},
|
| 54 |
+
"32003": {
|
| 55 |
+
"content": "<|/story|>",
|
| 56 |
+
"lstrip": false,
|
| 57 |
+
"normalized": false,
|
| 58 |
+
"rstrip": false,
|
| 59 |
+
"single_word": false,
|
| 60 |
+
"special": true
|
| 61 |
+
}
|
| 62 |
+
},
|
| 63 |
+
"additional_special_tokens": [
|
| 64 |
+
"<|think|>",
|
| 65 |
+
"<|/think|>",
|
| 66 |
+
"<|story|>",
|
| 67 |
+
"<|/story|>"
|
| 68 |
+
],
|
| 69 |
+
"bos_token": "<s>",
|
| 70 |
+
"clean_up_tokenization_spaces": false,
|
| 71 |
+
"eos_token": "</s>",
|
| 72 |
+
"extra_special_tokens": {},
|
| 73 |
+
"legacy": false,
|
| 74 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 75 |
+
"pad_token": "</s>",
|
| 76 |
+
"sp_model_kwargs": {},
|
| 77 |
+
"spaces_between_special_tokens": false,
|
| 78 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 79 |
+
"unk_token": "<unk>",
|
| 80 |
+
"use_default_system_prompt": false
|
| 81 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,594 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 4.992414100847836,
|
| 6 |
+
"eval_steps": 500,
|
| 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 |
+
"entropy": 1.6259768772125245,
|
| 14 |
+
"epoch": 0.0892458723784025,
|
| 15 |
+
"grad_norm": 0.9921875,
|
| 16 |
+
"learning_rate": 9.702970297029703e-05,
|
| 17 |
+
"loss": 1.5974,
|
| 18 |
+
"mean_token_accuracy": 0.6319892483949662,
|
| 19 |
+
"num_tokens": 204800.0,
|
| 20 |
+
"step": 50
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 1.1296514749526978,
|
| 24 |
+
"epoch": 0.178491744756805,
|
| 25 |
+
"grad_norm": 0.7734375,
|
| 26 |
+
"learning_rate": 0.00019603960396039606,
|
| 27 |
+
"loss": 1.095,
|
| 28 |
+
"mean_token_accuracy": 0.7227028369903564,
|
| 29 |
+
"num_tokens": 409600.0,
|
| 30 |
+
"step": 100
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 1.0354267311096192,
|
| 34 |
+
"epoch": 0.2677376171352075,
|
| 35 |
+
"grad_norm": 0.640625,
|
| 36 |
+
"learning_rate": 0.0001998929698787665,
|
| 37 |
+
"loss": 1.0001,
|
| 38 |
+
"mean_token_accuracy": 0.738949174284935,
|
| 39 |
+
"num_tokens": 614400.0,
|
| 40 |
+
"step": 150
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 0.9883857735991478,
|
| 44 |
+
"epoch": 0.35698348951361,
|
| 45 |
+
"grad_norm": 0.609375,
|
| 46 |
+
"learning_rate": 0.00019955410749920795,
|
| 47 |
+
"loss": 0.9576,
|
| 48 |
+
"mean_token_accuracy": 0.7486803528666496,
|
| 49 |
+
"num_tokens": 819200.0,
|
| 50 |
+
"step": 200
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 0.9801795700192452,
|
| 54 |
+
"epoch": 0.4462293618920125,
|
| 55 |
+
"grad_norm": 0.54296875,
|
| 56 |
+
"learning_rate": 0.00019898401407651969,
|
| 57 |
+
"loss": 0.9485,
|
| 58 |
+
"mean_token_accuracy": 0.7502834811806679,
|
| 59 |
+
"num_tokens": 1024000.0,
|
| 60 |
+
"step": 250
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 0.976861891746521,
|
| 64 |
+
"epoch": 0.535475234270415,
|
| 65 |
+
"grad_norm": 0.58984375,
|
| 66 |
+
"learning_rate": 0.00019818401374789826,
|
| 67 |
+
"loss": 0.942,
|
| 68 |
+
"mean_token_accuracy": 0.7504301071166992,
|
| 69 |
+
"num_tokens": 1228800.0,
|
| 70 |
+
"step": 300
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 0.9461924117803574,
|
| 74 |
+
"epoch": 0.6247211066488175,
|
| 75 |
+
"grad_norm": 0.53125,
|
| 76 |
+
"learning_rate": 0.00019715596464773042,
|
| 77 |
+
"loss": 0.9121,
|
| 78 |
+
"mean_token_accuracy": 0.7569012671709061,
|
| 79 |
+
"num_tokens": 1433600.0,
|
| 80 |
+
"step": 350
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 0.9457061448693276,
|
| 84 |
+
"epoch": 0.71396697902722,
|
| 85 |
+
"grad_norm": 0.57421875,
|
| 86 |
+
"learning_rate": 0.00019590225459176582,
|
| 87 |
+
"loss": 0.9115,
|
| 88 |
+
"mean_token_accuracy": 0.7561534664034844,
|
| 89 |
+
"num_tokens": 1638400.0,
|
| 90 |
+
"step": 400
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 0.9444361236691475,
|
| 94 |
+
"epoch": 0.8032128514056225,
|
| 95 |
+
"grad_norm": 0.5625,
|
| 96 |
+
"learning_rate": 0.00019442579553101584,
|
| 97 |
+
"loss": 0.9109,
|
| 98 |
+
"mean_token_accuracy": 0.7562658813595772,
|
| 99 |
+
"num_tokens": 1843200.0,
|
| 100 |
+
"step": 450
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 0.9286397603154183,
|
| 104 |
+
"epoch": 0.892458723784025,
|
| 105 |
+
"grad_norm": 0.60546875,
|
| 106 |
+
"learning_rate": 0.00019273001678826114,
|
| 107 |
+
"loss": 0.8951,
|
| 108 |
+
"mean_token_accuracy": 0.7600635370612144,
|
| 109 |
+
"num_tokens": 2048000.0,
|
| 110 |
+
"step": 500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"entropy": 0.9270413678884506,
|
| 114 |
+
"epoch": 0.9817045961624274,
|
| 115 |
+
"grad_norm": 0.55859375,
|
| 116 |
+
"learning_rate": 0.00019081885709287667,
|
| 117 |
+
"loss": 0.8924,
|
| 118 |
+
"mean_token_accuracy": 0.7599315717816353,
|
| 119 |
+
"num_tokens": 2252800.0,
|
| 120 |
+
"step": 550
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"entropy": 0.871931555307456,
|
| 124 |
+
"epoch": 1.069611780455154,
|
| 125 |
+
"grad_norm": 0.5390625,
|
| 126 |
+
"learning_rate": 0.00018869675543247482,
|
| 127 |
+
"loss": 0.8402,
|
| 128 |
+
"mean_token_accuracy": 0.7711419060750662,
|
| 129 |
+
"num_tokens": 2454528.0,
|
| 130 |
+
"step": 600
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"entropy": 0.866090109050274,
|
| 134 |
+
"epoch": 1.1588576528335564,
|
| 135 |
+
"grad_norm": 0.640625,
|
| 136 |
+
"learning_rate": 0.00018636864074261523,
|
| 137 |
+
"loss": 0.8309,
|
| 138 |
+
"mean_token_accuracy": 0.7731769263744355,
|
| 139 |
+
"num_tokens": 2659328.0,
|
| 140 |
+
"step": 650
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"entropy": 0.8680649262666702,
|
| 144 |
+
"epoch": 1.248103525211959,
|
| 145 |
+
"grad_norm": 0.6015625,
|
| 146 |
+
"learning_rate": 0.00018383992045852872,
|
| 147 |
+
"loss": 0.8363,
|
| 148 |
+
"mean_token_accuracy": 0.7720087966322899,
|
| 149 |
+
"num_tokens": 2864128.0,
|
| 150 |
+
"step": 700
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"entropy": 0.8708215129375457,
|
| 154 |
+
"epoch": 1.3373493975903614,
|
| 155 |
+
"grad_norm": 0.578125,
|
| 156 |
+
"learning_rate": 0.0001811164679554457,
|
| 157 |
+
"loss": 0.8353,
|
| 158 |
+
"mean_token_accuracy": 0.7726930573582649,
|
| 159 |
+
"num_tokens": 3068928.0,
|
| 160 |
+
"step": 750
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"entropy": 0.8597633948922158,
|
| 164 |
+
"epoch": 1.426595269968764,
|
| 165 |
+
"grad_norm": 0.5703125,
|
| 166 |
+
"learning_rate": 0.0001782046089067012,
|
| 167 |
+
"loss": 0.8265,
|
| 168 |
+
"mean_token_accuracy": 0.7739687168598175,
|
| 169 |
+
"num_tokens": 3273728.0,
|
| 170 |
+
"step": 800
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"entropy": 0.85432891279459,
|
| 174 |
+
"epoch": 1.5158411423471665,
|
| 175 |
+
"grad_norm": 0.59375,
|
| 176 |
+
"learning_rate": 0.000175111106591302,
|
| 177 |
+
"loss": 0.8231,
|
| 178 |
+
"mean_token_accuracy": 0.7762707683444023,
|
| 179 |
+
"num_tokens": 3478528.0,
|
| 180 |
+
"step": 850
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"entropy": 0.8619935244321824,
|
| 184 |
+
"epoch": 1.605087014725569,
|
| 185 |
+
"grad_norm": 0.61328125,
|
| 186 |
+
"learning_rate": 0.00017184314618508148,
|
| 187 |
+
"loss": 0.8254,
|
| 188 |
+
"mean_token_accuracy": 0.7741544449329376,
|
| 189 |
+
"num_tokens": 3683328.0,
|
| 190 |
+
"step": 900
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"entropy": 0.8650275564193726,
|
| 194 |
+
"epoch": 1.6943328871039713,
|
| 195 |
+
"grad_norm": 0.58984375,
|
| 196 |
+
"learning_rate": 0.00016840831807192854,
|
| 197 |
+
"loss": 0.8275,
|
| 198 |
+
"mean_token_accuracy": 0.7748044946789742,
|
| 199 |
+
"num_tokens": 3888128.0,
|
| 200 |
+
"step": 950
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"entropy": 0.860476321876049,
|
| 204 |
+
"epoch": 1.783578759482374,
|
| 205 |
+
"grad_norm": 0.57421875,
|
| 206 |
+
"learning_rate": 0.00016481460021385323,
|
| 207 |
+
"loss": 0.8255,
|
| 208 |
+
"mean_token_accuracy": 0.7732942277193069,
|
| 209 |
+
"num_tokens": 4092928.0,
|
| 210 |
+
"step": 1000
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 0.8491663599014282,
|
| 214 |
+
"epoch": 1.8728246318607764,
|
| 215 |
+
"grad_norm": 0.57421875,
|
| 216 |
+
"learning_rate": 0.0001610703396208375,
|
| 217 |
+
"loss": 0.8172,
|
| 218 |
+
"mean_token_accuracy": 0.7759139758348464,
|
| 219 |
+
"num_tokens": 4297728.0,
|
| 220 |
+
"step": 1050
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 0.8503634676337242,
|
| 224 |
+
"epoch": 1.962070504239179,
|
| 225 |
+
"grad_norm": 0.58203125,
|
| 226 |
+
"learning_rate": 0.0001571842329635102,
|
| 227 |
+
"loss": 0.8165,
|
| 228 |
+
"mean_token_accuracy": 0.7770869982242584,
|
| 229 |
+
"num_tokens": 4502528.0,
|
| 230 |
+
"step": 1100
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 0.7979691500591143,
|
| 234 |
+
"epoch": 2.0499776885319054,
|
| 235 |
+
"grad_norm": 0.625,
|
| 236 |
+
"learning_rate": 0.00015316530637367708,
|
| 237 |
+
"loss": 0.7612,
|
| 238 |
+
"mean_token_accuracy": 0.7890002040693602,
|
| 239 |
+
"num_tokens": 4704256.0,
|
| 240 |
+
"step": 1150
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 0.7788776361942291,
|
| 244 |
+
"epoch": 2.139223560910308,
|
| 245 |
+
"grad_norm": 0.62890625,
|
| 246 |
+
"learning_rate": 0.00014902289447962187,
|
| 247 |
+
"loss": 0.7431,
|
| 248 |
+
"mean_token_accuracy": 0.7926588499546051,
|
| 249 |
+
"num_tokens": 4909056.0,
|
| 250 |
+
"step": 1200
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 0.7778185418248177,
|
| 254 |
+
"epoch": 2.2284694332887103,
|
| 255 |
+
"grad_norm": 0.71484375,
|
| 256 |
+
"learning_rate": 0.0001447666187248731,
|
| 257 |
+
"loss": 0.7431,
|
| 258 |
+
"mean_token_accuracy": 0.7919403752684593,
|
| 259 |
+
"num_tokens": 5113856.0,
|
| 260 |
+
"step": 1250
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 0.7770297473669052,
|
| 264 |
+
"epoch": 2.3177153056671127,
|
| 265 |
+
"grad_norm": 0.671875,
|
| 266 |
+
"learning_rate": 0.00014040636502079434,
|
| 267 |
+
"loss": 0.7421,
|
| 268 |
+
"mean_token_accuracy": 0.7937096789479255,
|
| 269 |
+
"num_tokens": 5318656.0,
|
| 270 |
+
"step": 1300
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 0.774446559548378,
|
| 274 |
+
"epoch": 2.4069611780455156,
|
| 275 |
+
"grad_norm": 0.69921875,
|
| 276 |
+
"learning_rate": 0.00013595226078490395,
|
| 277 |
+
"loss": 0.7405,
|
| 278 |
+
"mean_token_accuracy": 0.7925708714127541,
|
| 279 |
+
"num_tokens": 5523456.0,
|
| 280 |
+
"step": 1350
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 0.7771885851025582,
|
| 284 |
+
"epoch": 2.496207050423918,
|
| 285 |
+
"grad_norm": 0.61328125,
|
| 286 |
+
"learning_rate": 0.00013141465141825603,
|
| 287 |
+
"loss": 0.7402,
|
| 288 |
+
"mean_token_accuracy": 0.7931915977597237,
|
| 289 |
+
"num_tokens": 5728256.0,
|
| 290 |
+
"step": 1400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 0.7688560289144516,
|
| 294 |
+
"epoch": 2.5854529228023204,
|
| 295 |
+
"grad_norm": 0.66796875,
|
| 296 |
+
"learning_rate": 0.0001268040762765189,
|
| 297 |
+
"loss": 0.7369,
|
| 298 |
+
"mean_token_accuracy": 0.7952443835139275,
|
| 299 |
+
"num_tokens": 5933056.0,
|
| 300 |
+
"step": 1450
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 0.78252092897892,
|
| 304 |
+
"epoch": 2.674698795180723,
|
| 305 |
+
"grad_norm": 0.70703125,
|
| 306 |
+
"learning_rate": 0.00012213124419056074,
|
| 307 |
+
"loss": 0.7474,
|
| 308 |
+
"mean_token_accuracy": 0.7915493679046631,
|
| 309 |
+
"num_tokens": 6137856.0,
|
| 310 |
+
"step": 1500
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 0.7763542786240578,
|
| 314 |
+
"epoch": 2.7639446675591253,
|
| 315 |
+
"grad_norm": 0.625,
|
| 316 |
+
"learning_rate": 0.00011740700859340161,
|
| 317 |
+
"loss": 0.7383,
|
| 318 |
+
"mean_token_accuracy": 0.7942082145810128,
|
| 319 |
+
"num_tokens": 6342656.0,
|
| 320 |
+
"step": 1550
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 0.7749826022982598,
|
| 324 |
+
"epoch": 2.853190539937528,
|
| 325 |
+
"grad_norm": 0.6796875,
|
| 326 |
+
"learning_rate": 0.00011264234231130209,
|
| 327 |
+
"loss": 0.7394,
|
| 328 |
+
"mean_token_accuracy": 0.794452593922615,
|
| 329 |
+
"num_tokens": 6547456.0,
|
| 330 |
+
"step": 1600
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 0.7712367391586303,
|
| 334 |
+
"epoch": 2.9424364123159306,
|
| 335 |
+
"grad_norm": 0.65234375,
|
| 336 |
+
"learning_rate": 0.00010784831207754171,
|
| 337 |
+
"loss": 0.7352,
|
| 338 |
+
"mean_token_accuracy": 0.793088955283165,
|
| 339 |
+
"num_tokens": 6752256.0,
|
| 340 |
+
"step": 1650
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 0.7491341354278138,
|
| 344 |
+
"epoch": 3.030343596608657,
|
| 345 |
+
"grad_norm": 0.71875,
|
| 346 |
+
"learning_rate": 0.00010303605282808242,
|
| 347 |
+
"loss": 0.7141,
|
| 348 |
+
"mean_token_accuracy": 0.7993410486860324,
|
| 349 |
+
"num_tokens": 6953984.0,
|
| 350 |
+
"step": 1700
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"entropy": 0.7142950230836869,
|
| 354 |
+
"epoch": 3.1195894689870594,
|
| 355 |
+
"grad_norm": 0.66796875,
|
| 356 |
+
"learning_rate": 9.821674183881982e-05,
|
| 357 |
+
"loss": 0.6733,
|
| 358 |
+
"mean_token_accuracy": 0.809511242210865,
|
| 359 |
+
"num_tokens": 7158784.0,
|
| 360 |
+
"step": 1750
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"entropy": 0.7075088465213776,
|
| 364 |
+
"epoch": 3.208835341365462,
|
| 365 |
+
"grad_norm": 0.734375,
|
| 366 |
+
"learning_rate": 9.34015727644931e-05,
|
| 367 |
+
"loss": 0.6705,
|
| 368 |
+
"mean_token_accuracy": 0.80923753708601,
|
| 369 |
+
"num_tokens": 7363584.0,
|
| 370 |
+
"step": 1800
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"entropy": 0.7165163627266884,
|
| 374 |
+
"epoch": 3.298081213743864,
|
| 375 |
+
"grad_norm": 0.734375,
|
| 376 |
+
"learning_rate": 8.860172963955215e-05,
|
| 377 |
+
"loss": 0.683,
|
| 378 |
+
"mean_token_accuracy": 0.8069452607631683,
|
| 379 |
+
"num_tokens": 7568384.0,
|
| 380 |
+
"step": 1850
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"entropy": 0.7122274199128151,
|
| 384 |
+
"epoch": 3.3873270861222666,
|
| 385 |
+
"grad_norm": 0.75390625,
|
| 386 |
+
"learning_rate": 8.382836090136962e-05,
|
| 387 |
+
"loss": 0.6751,
|
| 388 |
+
"mean_token_accuracy": 0.8079178902506828,
|
| 389 |
+
"num_tokens": 7773184.0,
|
| 390 |
+
"step": 1900
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"entropy": 0.7034698343276977,
|
| 394 |
+
"epoch": 3.4765729585006695,
|
| 395 |
+
"grad_norm": 0.6953125,
|
| 396 |
+
"learning_rate": 7.909255349613283e-05,
|
| 397 |
+
"loss": 0.6673,
|
| 398 |
+
"mean_token_accuracy": 0.8113440865278244,
|
| 399 |
+
"num_tokens": 7977984.0,
|
| 400 |
+
"step": 1950
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"entropy": 0.7057863634824753,
|
| 404 |
+
"epoch": 3.565818830879072,
|
| 405 |
+
"grad_norm": 0.76171875,
|
| 406 |
+
"learning_rate": 7.440530712755951e-05,
|
| 407 |
+
"loss": 0.6688,
|
| 408 |
+
"mean_token_accuracy": 0.8105962842702865,
|
| 409 |
+
"num_tokens": 8182784.0,
|
| 410 |
+
"step": 2000
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"entropy": 0.7125656777620315,
|
| 414 |
+
"epoch": 3.6550647032574743,
|
| 415 |
+
"grad_norm": 0.76953125,
|
| 416 |
+
"learning_rate": 6.977750870824863e-05,
|
| 417 |
+
"loss": 0.6761,
|
| 418 |
+
"mean_token_accuracy": 0.8088660803437233,
|
| 419 |
+
"num_tokens": 8387584.0,
|
| 420 |
+
"step": 2050
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"entropy": 0.70076868891716,
|
| 424 |
+
"epoch": 3.7443105756358768,
|
| 425 |
+
"grad_norm": 0.765625,
|
| 426 |
+
"learning_rate": 6.521990707300736e-05,
|
| 427 |
+
"loss": 0.6634,
|
| 428 |
+
"mean_token_accuracy": 0.8110703819990158,
|
| 429 |
+
"num_tokens": 8592384.0,
|
| 430 |
+
"step": 2100
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"entropy": 0.700417303442955,
|
| 434 |
+
"epoch": 3.833556448014279,
|
| 435 |
+
"grad_norm": 0.73828125,
|
| 436 |
+
"learning_rate": 6.074308801288713e-05,
|
| 437 |
+
"loss": 0.6631,
|
| 438 |
+
"mean_token_accuracy": 0.8109530797600746,
|
| 439 |
+
"num_tokens": 8797184.0,
|
| 440 |
+
"step": 2150
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"entropy": 0.7015222778916359,
|
| 444 |
+
"epoch": 3.922802320392682,
|
| 445 |
+
"grad_norm": 0.77734375,
|
| 446 |
+
"learning_rate": 5.6357449687915386e-05,
|
| 447 |
+
"loss": 0.6665,
|
| 448 |
+
"mean_token_accuracy": 0.8110703811049461,
|
| 449 |
+
"num_tokens": 9001984.0,
|
| 450 |
+
"step": 2200
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"entropy": 0.7122828648780203,
|
| 454 |
+
"epoch": 4.010709504685408,
|
| 455 |
+
"grad_norm": 0.703125,
|
| 456 |
+
"learning_rate": 5.207317847563248e-05,
|
| 457 |
+
"loss": 0.6758,
|
| 458 |
+
"mean_token_accuracy": 0.8095082153523634,
|
| 459 |
+
"num_tokens": 9203712.0,
|
| 460 |
+
"step": 2250
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"entropy": 0.6674378645420075,
|
| 464 |
+
"epoch": 4.099955377063811,
|
| 465 |
+
"grad_norm": 0.74609375,
|
| 466 |
+
"learning_rate": 4.7900225311528094e-05,
|
| 467 |
+
"loss": 0.6269,
|
| 468 |
+
"mean_token_accuracy": 0.8208357748389244,
|
| 469 |
+
"num_tokens": 9408512.0,
|
| 470 |
+
"step": 2300
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"entropy": 0.6730345389246941,
|
| 474 |
+
"epoch": 4.189201249442213,
|
| 475 |
+
"grad_norm": 0.75390625,
|
| 476 |
+
"learning_rate": 4.384828257633177e-05,
|
| 477 |
+
"loss": 0.6365,
|
| 478 |
+
"mean_token_accuracy": 0.8188856270909309,
|
| 479 |
+
"num_tokens": 9613312.0,
|
| 480 |
+
"step": 2350
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"entropy": 0.6662819012999535,
|
| 484 |
+
"epoch": 4.278447121820616,
|
| 485 |
+
"grad_norm": 0.8515625,
|
| 486 |
+
"learning_rate": 3.992676158383957e-05,
|
| 487 |
+
"loss": 0.6271,
|
| 488 |
+
"mean_token_accuracy": 0.8203372398018837,
|
| 489 |
+
"num_tokens": 9818112.0,
|
| 490 |
+
"step": 2400
|
| 491 |
+
},
|
| 492 |
+
{
|
| 493 |
+
"entropy": 0.664862583577633,
|
| 494 |
+
"epoch": 4.367692994199018,
|
| 495 |
+
"grad_norm": 0.80078125,
|
| 496 |
+
"learning_rate": 3.6144770721565844e-05,
|
| 497 |
+
"loss": 0.6261,
|
| 498 |
+
"mean_token_accuracy": 0.8207477974891663,
|
| 499 |
+
"num_tokens": 10022912.0,
|
| 500 |
+
"step": 2450
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"entropy": 0.6621513772010803,
|
| 504 |
+
"epoch": 4.4569388665774206,
|
| 505 |
+
"grad_norm": 0.77734375,
|
| 506 |
+
"learning_rate": 3.251109429499194e-05,
|
| 507 |
+
"loss": 0.6238,
|
| 508 |
+
"mean_token_accuracy": 0.8212072286009788,
|
| 509 |
+
"num_tokens": 10227712.0,
|
| 510 |
+
"step": 2500
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"entropy": 0.6667330291867256,
|
| 514 |
+
"epoch": 4.546184738955823,
|
| 515 |
+
"grad_norm": 0.77734375,
|
| 516 |
+
"learning_rate": 2.9034172124549263e-05,
|
| 517 |
+
"loss": 0.6275,
|
| 518 |
+
"mean_token_accuracy": 0.8213147559762001,
|
| 519 |
+
"num_tokens": 10432512.0,
|
| 520 |
+
"step": 2550
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"entropy": 0.6676543334126472,
|
| 524 |
+
"epoch": 4.635430611334225,
|
| 525 |
+
"grad_norm": 0.78125,
|
| 526 |
+
"learning_rate": 2.5722079942726964e-05,
|
| 527 |
+
"loss": 0.6295,
|
| 528 |
+
"mean_token_accuracy": 0.8205034193396569,
|
| 529 |
+
"num_tokens": 10637312.0,
|
| 530 |
+
"step": 2600
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"entropy": 0.6684669059514999,
|
| 534 |
+
"epoch": 4.724676483712628,
|
| 535 |
+
"grad_norm": 0.796875,
|
| 536 |
+
"learning_rate": 2.2582510636834064e-05,
|
| 537 |
+
"loss": 0.6347,
|
| 538 |
+
"mean_token_accuracy": 0.8190029296278953,
|
| 539 |
+
"num_tokens": 10842112.0,
|
| 540 |
+
"step": 2650
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"entropy": 0.6723845577239991,
|
| 544 |
+
"epoch": 4.813922356091031,
|
| 545 |
+
"grad_norm": 0.8125,
|
| 546 |
+
"learning_rate": 1.9622756380983887e-05,
|
| 547 |
+
"loss": 0.6353,
|
| 548 |
+
"mean_token_accuracy": 0.8182209166884422,
|
| 549 |
+
"num_tokens": 11046912.0,
|
| 550 |
+
"step": 2700
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"entropy": 0.6706709080934524,
|
| 554 |
+
"epoch": 4.903168228469434,
|
| 555 |
+
"grad_norm": 0.75390625,
|
| 556 |
+
"learning_rate": 1.684969169880165e-05,
|
| 557 |
+
"loss": 0.6291,
|
| 558 |
+
"mean_token_accuracy": 0.8204301059246063,
|
| 559 |
+
"num_tokens": 11251712.0,
|
| 560 |
+
"step": 2750
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"entropy": 0.6609847331047058,
|
| 564 |
+
"epoch": 4.992414100847836,
|
| 565 |
+
"grad_norm": 0.7734375,
|
| 566 |
+
"learning_rate": 1.4269757496194991e-05,
|
| 567 |
+
"loss": 0.6283,
|
| 568 |
+
"mean_token_accuracy": 0.8204398784041405,
|
| 569 |
+
"num_tokens": 11456512.0,
|
| 570 |
+
"step": 2800
|
| 571 |
+
}
|
| 572 |
+
],
|
| 573 |
+
"logging_steps": 50,
|
| 574 |
+
"max_steps": 3360,
|
| 575 |
+
"num_input_tokens_seen": 0,
|
| 576 |
+
"num_train_epochs": 6,
|
| 577 |
+
"save_steps": 560,
|
| 578 |
+
"stateful_callbacks": {
|
| 579 |
+
"TrainerControl": {
|
| 580 |
+
"args": {
|
| 581 |
+
"should_epoch_stop": false,
|
| 582 |
+
"should_evaluate": false,
|
| 583 |
+
"should_log": false,
|
| 584 |
+
"should_save": true,
|
| 585 |
+
"should_training_stop": false
|
| 586 |
+
},
|
| 587 |
+
"attributes": {}
|
| 588 |
+
}
|
| 589 |
+
},
|
| 590 |
+
"total_flos": 4.897183183625257e+17,
|
| 591 |
+
"train_batch_size": 1,
|
| 592 |
+
"trial_name": null,
|
| 593 |
+
"trial_params": null
|
| 594 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5aef2ef2aa5e0492e3c844c5919533b1d735a9a2341f5ae411c844a57e691a3b
|
| 3 |
+
size 5816
|