Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- README.md +62 -0
- adapter_config.json +41 -0
- adapter_model.safetensors +3 -0
- checkpoint-100/README.md +209 -0
- checkpoint-100/adapter_config.json +41 -0
- checkpoint-100/adapter_model.safetensors +3 -0
- checkpoint-100/optimizer.pt +3 -0
- checkpoint-100/rng_state.pth +3 -0
- checkpoint-100/scheduler.pt +3 -0
- checkpoint-100/special_tokens_map.json +30 -0
- checkpoint-100/tokenizer.json +0 -0
- checkpoint-100/tokenizer_config.json +84 -0
- checkpoint-100/trainer_state.json +145 -0
- checkpoint-100/training_args.bin +3 -0
- checkpoint-200/README.md +209 -0
- checkpoint-200/adapter_config.json +41 -0
- checkpoint-200/adapter_model.safetensors +3 -0
- checkpoint-200/optimizer.pt +3 -0
- checkpoint-200/rng_state.pth +3 -0
- checkpoint-200/scheduler.pt +3 -0
- checkpoint-200/special_tokens_map.json +30 -0
- checkpoint-200/tokenizer.json +0 -0
- checkpoint-200/tokenizer_config.json +84 -0
- checkpoint-200/trainer_state.json +256 -0
- checkpoint-200/training_args.bin +3 -0
- checkpoint-300/README.md +209 -0
- checkpoint-300/adapter_config.json +41 -0
- checkpoint-300/adapter_model.safetensors +3 -0
- checkpoint-300/optimizer.pt +3 -0
- checkpoint-300/rng_state.pth +3 -0
- checkpoint-300/scheduler.pt +3 -0
- checkpoint-300/special_tokens_map.json +30 -0
- checkpoint-300/tokenizer.json +0 -0
- checkpoint-300/tokenizer_config.json +84 -0
- checkpoint-300/trainer_state.json +367 -0
- checkpoint-300/training_args.bin +3 -0
- checkpoint-400/README.md +209 -0
- checkpoint-400/adapter_config.json +41 -0
- checkpoint-400/adapter_model.safetensors +3 -0
- checkpoint-400/optimizer.pt +3 -0
- checkpoint-400/rng_state.pth +3 -0
- checkpoint-400/scheduler.pt +3 -0
- checkpoint-400/special_tokens_map.json +30 -0
- checkpoint-400/tokenizer.json +0 -0
- checkpoint-400/tokenizer_config.json +84 -0
- checkpoint-400/trainer_state.json +478 -0
- checkpoint-400/training_args.bin +3 -0
- checkpoint-500/README.md +209 -0
- checkpoint-500/adapter_config.json +41 -0
- checkpoint-500/adapter_model.safetensors +3 -0
README.md
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: codellama/CodeLlama-7b-hf
|
| 3 |
+
library_name: peft
|
| 4 |
+
model_name: exploitgpt-v1
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:codellama/CodeLlama-7b-hf
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
licence: license
|
| 12 |
+
pipeline_tag: text-generation
|
| 13 |
+
---
|
| 14 |
+
|
| 15 |
+
# Model Card for exploitgpt-v1
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf).
|
| 18 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 19 |
+
|
| 20 |
+
## Quick start
|
| 21 |
+
|
| 22 |
+
```python
|
| 23 |
+
from transformers import pipeline
|
| 24 |
+
|
| 25 |
+
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
|
| 26 |
+
generator = pipeline("text-generation", model="None", device="cuda")
|
| 27 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
| 28 |
+
print(output["generated_text"])
|
| 29 |
+
```
|
| 30 |
+
|
| 31 |
+
## Training procedure
|
| 32 |
+
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
|
| 36 |
+
This model was trained with SFT.
|
| 37 |
+
|
| 38 |
+
### Framework versions
|
| 39 |
+
|
| 40 |
+
- PEFT 0.18.0
|
| 41 |
+
- TRL: 0.26.2
|
| 42 |
+
- Transformers: 4.57.3
|
| 43 |
+
- Pytorch: 2.9.1
|
| 44 |
+
- Datasets: 4.4.2
|
| 45 |
+
- Tokenizers: 0.22.1
|
| 46 |
+
|
| 47 |
+
## Citations
|
| 48 |
+
|
| 49 |
+
|
| 50 |
+
|
| 51 |
+
Cite TRL as:
|
| 52 |
+
|
| 53 |
+
```bibtex
|
| 54 |
+
@misc{vonwerra2022trl,
|
| 55 |
+
title = {{TRL: Transformer Reinforcement Learning}},
|
| 56 |
+
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
|
| 57 |
+
year = 2020,
|
| 58 |
+
journal = {GitHub repository},
|
| 59 |
+
publisher = {GitHub},
|
| 60 |
+
howpublished = {\url{https://github.com/huggingface/trl}}
|
| 61 |
+
}
|
| 62 |
+
```
|
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": "codellama/CodeLlama-7b-hf",
|
| 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": 32,
|
| 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": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 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:b236c0861c66f1737120aa0df751625931da353a096346b837f509488fb25027
|
| 3 |
+
size 16794456
|
checkpoint-100/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: codellama/CodeLlama-7b-hf
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:codellama/CodeLlama-7b-hf
|
| 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 0.18.0
|
checkpoint-100/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": "codellama/CodeLlama-7b-hf",
|
| 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": 32,
|
| 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": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 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 |
+
}
|
checkpoint-100/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b2c8742fb10f0346fc6b7200f17e64c80cb7c6ae7cf9179c2e6909a22fd62f89
|
| 3 |
+
size 16794456
|
checkpoint-100/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:39b81f6df9216c305843bda8b6967460bd25d22392628c8971798afa73748766
|
| 3 |
+
size 17192011
|
checkpoint-100/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:557bfd295517e7b892bcf30ebd084826730dfcce36462fe02a7439894ed2b8d7
|
| 3 |
+
size 14645
|
checkpoint-100/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:622fb96132554597b206807adb71d93bf8fdf963fa98d12f162324c02badad18
|
| 3 |
+
size 1465
|
checkpoint-100/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"▁<PRE>",
|
| 4 |
+
"▁<MID>",
|
| 5 |
+
"▁<SUF>",
|
| 6 |
+
"▁<EOT>"
|
| 7 |
+
],
|
| 8 |
+
"bos_token": {
|
| 9 |
+
"content": "<s>",
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"normalized": false,
|
| 12 |
+
"rstrip": false,
|
| 13 |
+
"single_word": false
|
| 14 |
+
},
|
| 15 |
+
"eos_token": {
|
| 16 |
+
"content": "</s>",
|
| 17 |
+
"lstrip": false,
|
| 18 |
+
"normalized": false,
|
| 19 |
+
"rstrip": false,
|
| 20 |
+
"single_word": false
|
| 21 |
+
},
|
| 22 |
+
"pad_token": "</s>",
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
checkpoint-100/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-100/tokenizer_config.json
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"32007": {
|
| 30 |
+
"content": "▁<PRE>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32008": {
|
| 38 |
+
"content": "▁<SUF>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"32009": {
|
| 46 |
+
"content": "▁<MID>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"32010": {
|
| 54 |
+
"content": "▁<EOT>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"additional_special_tokens": [
|
| 63 |
+
"▁<PRE>",
|
| 64 |
+
"▁<MID>",
|
| 65 |
+
"▁<SUF>",
|
| 66 |
+
"▁<EOT>"
|
| 67 |
+
],
|
| 68 |
+
"bos_token": "<s>",
|
| 69 |
+
"clean_up_tokenization_spaces": false,
|
| 70 |
+
"eos_token": "</s>",
|
| 71 |
+
"eot_token": "▁<EOT>",
|
| 72 |
+
"extra_special_tokens": {},
|
| 73 |
+
"fill_token": "<FILL_ME>",
|
| 74 |
+
"legacy": null,
|
| 75 |
+
"middle_token": "▁<MID>",
|
| 76 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 77 |
+
"pad_token": "</s>",
|
| 78 |
+
"prefix_token": "▁<PRE>",
|
| 79 |
+
"sp_model_kwargs": {},
|
| 80 |
+
"suffix_token": "▁<SUF>",
|
| 81 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
| 82 |
+
"unk_token": "<unk>",
|
| 83 |
+
"use_default_system_prompt": false
|
| 84 |
+
}
|
checkpoint-100/trainer_state.json
ADDED
|
@@ -0,0 +1,145 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.33984706881903143,
|
| 6 |
+
"eval_steps": 100,
|
| 7 |
+
"global_step": 100,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 1.1900819569826127,
|
| 14 |
+
"epoch": 0.033984706881903144,
|
| 15 |
+
"grad_norm": 0.107421875,
|
| 16 |
+
"learning_rate": 6.666666666666667e-05,
|
| 17 |
+
"loss": 1.2022,
|
| 18 |
+
"mean_token_accuracy": 0.7261606067419052,
|
| 19 |
+
"num_tokens": 32329.0,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 1.1123934835195541,
|
| 24 |
+
"epoch": 0.06796941376380629,
|
| 25 |
+
"grad_norm": 0.138671875,
|
| 26 |
+
"learning_rate": 0.00014074074074074076,
|
| 27 |
+
"loss": 1.1277,
|
| 28 |
+
"mean_token_accuracy": 0.7318252056837082,
|
| 29 |
+
"num_tokens": 67111.0,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 1.0879137217998505,
|
| 34 |
+
"epoch": 0.10195412064570943,
|
| 35 |
+
"grad_norm": 0.3203125,
|
| 36 |
+
"learning_rate": 0.00019999731865174213,
|
| 37 |
+
"loss": 1.0625,
|
| 38 |
+
"mean_token_accuracy": 0.7478782564401627,
|
| 39 |
+
"num_tokens": 101352.0,
|
| 40 |
+
"step": 30
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 0.9986169628798962,
|
| 44 |
+
"epoch": 0.13593882752761258,
|
| 45 |
+
"grad_norm": 0.2890625,
|
| 46 |
+
"learning_rate": 0.00019990348656007261,
|
| 47 |
+
"loss": 1.0079,
|
| 48 |
+
"mean_token_accuracy": 0.7581020414829254,
|
| 49 |
+
"num_tokens": 133883.0,
|
| 50 |
+
"step": 40
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 1.05185257345438,
|
| 54 |
+
"epoch": 0.16992353440951571,
|
| 55 |
+
"grad_norm": 0.294921875,
|
| 56 |
+
"learning_rate": 0.00019967573081342103,
|
| 57 |
+
"loss": 1.0335,
|
| 58 |
+
"mean_token_accuracy": 0.7543211042881012,
|
| 59 |
+
"num_tokens": 168562.0,
|
| 60 |
+
"step": 50
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 0.9918051429092885,
|
| 64 |
+
"epoch": 0.20390824129141885,
|
| 65 |
+
"grad_norm": 0.263671875,
|
| 66 |
+
"learning_rate": 0.00019931435672527624,
|
| 67 |
+
"loss": 0.9977,
|
| 68 |
+
"mean_token_accuracy": 0.755571472644806,
|
| 69 |
+
"num_tokens": 202299.0,
|
| 70 |
+
"step": 60
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 0.8909615643322468,
|
| 74 |
+
"epoch": 0.23789294817332202,
|
| 75 |
+
"grad_norm": 0.298828125,
|
| 76 |
+
"learning_rate": 0.00019881984872856817,
|
| 77 |
+
"loss": 0.9168,
|
| 78 |
+
"mean_token_accuracy": 0.7724857151508331,
|
| 79 |
+
"num_tokens": 237132.0,
|
| 80 |
+
"step": 70
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 0.9534411959350109,
|
| 84 |
+
"epoch": 0.27187765505522515,
|
| 85 |
+
"grad_norm": 0.3203125,
|
| 86 |
+
"learning_rate": 0.00019819286972627066,
|
| 87 |
+
"loss": 0.9673,
|
| 88 |
+
"mean_token_accuracy": 0.7637621074914932,
|
| 89 |
+
"num_tokens": 271644.0,
|
| 90 |
+
"step": 80
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 0.9248364262282849,
|
| 94 |
+
"epoch": 0.3058623619371283,
|
| 95 |
+
"grad_norm": 0.26171875,
|
| 96 |
+
"learning_rate": 0.00019743426020275994,
|
| 97 |
+
"loss": 0.9077,
|
| 98 |
+
"mean_token_accuracy": 0.7676862999796867,
|
| 99 |
+
"num_tokens": 306939.0,
|
| 100 |
+
"step": 90
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 1.0025891564786433,
|
| 104 |
+
"epoch": 0.33984706881903143,
|
| 105 |
+
"grad_norm": 0.28125,
|
| 106 |
+
"learning_rate": 0.00019654503709711982,
|
| 107 |
+
"loss": 1.0295,
|
| 108 |
+
"mean_token_accuracy": 0.7536625176668167,
|
| 109 |
+
"num_tokens": 341079.0,
|
| 110 |
+
"step": 100
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.33984706881903143,
|
| 114 |
+
"eval_entropy": 0.9100993389175052,
|
| 115 |
+
"eval_loss": 0.9260265231132507,
|
| 116 |
+
"eval_mean_token_accuracy": 0.7760482584538103,
|
| 117 |
+
"eval_num_tokens": 341079.0,
|
| 118 |
+
"eval_runtime": 140.9825,
|
| 119 |
+
"eval_samples_per_second": 1.043,
|
| 120 |
+
"eval_steps_per_second": 1.043,
|
| 121 |
+
"step": 100
|
| 122 |
+
}
|
| 123 |
+
],
|
| 124 |
+
"logging_steps": 10,
|
| 125 |
+
"max_steps": 885,
|
| 126 |
+
"num_input_tokens_seen": 0,
|
| 127 |
+
"num_train_epochs": 3,
|
| 128 |
+
"save_steps": 100,
|
| 129 |
+
"stateful_callbacks": {
|
| 130 |
+
"TrainerControl": {
|
| 131 |
+
"args": {
|
| 132 |
+
"should_epoch_stop": false,
|
| 133 |
+
"should_evaluate": false,
|
| 134 |
+
"should_log": false,
|
| 135 |
+
"should_save": true,
|
| 136 |
+
"should_training_stop": false
|
| 137 |
+
},
|
| 138 |
+
"attributes": {}
|
| 139 |
+
}
|
| 140 |
+
},
|
| 141 |
+
"total_flos": 1.353905810509824e+16,
|
| 142 |
+
"train_batch_size": 1,
|
| 143 |
+
"trial_name": null,
|
| 144 |
+
"trial_params": null
|
| 145 |
+
}
|
checkpoint-100/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be523aaac59d69ae5ec9c8576a8ed2c5b5e19240aee6056559023b48d8fa85f8
|
| 3 |
+
size 6161
|
checkpoint-200/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: codellama/CodeLlama-7b-hf
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:codellama/CodeLlama-7b-hf
|
| 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 0.18.0
|
checkpoint-200/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": "codellama/CodeLlama-7b-hf",
|
| 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": 32,
|
| 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": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 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 |
+
}
|
checkpoint-200/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0338d2c3314786a031bf41c6a629c434537f59af11301d4bae6f1fac6f436f69
|
| 3 |
+
size 16794456
|
checkpoint-200/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:09e85ba91754e7ef62c1417bd60ee10c53cbe28b5bc769745860cf2d81adae35
|
| 3 |
+
size 17192011
|
checkpoint-200/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c236502b3e3509d6ee0c04745ffe5ee03a22bc2da512f7fc7234ad406ddbfecd
|
| 3 |
+
size 14645
|
checkpoint-200/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf488b961f4be425dd32fdad4021a24cebe9ca13b1cd5a976340f62977d73c13
|
| 3 |
+
size 1465
|
checkpoint-200/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"▁<PRE>",
|
| 4 |
+
"▁<MID>",
|
| 5 |
+
"▁<SUF>",
|
| 6 |
+
"▁<EOT>"
|
| 7 |
+
],
|
| 8 |
+
"bos_token": {
|
| 9 |
+
"content": "<s>",
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"normalized": false,
|
| 12 |
+
"rstrip": false,
|
| 13 |
+
"single_word": false
|
| 14 |
+
},
|
| 15 |
+
"eos_token": {
|
| 16 |
+
"content": "</s>",
|
| 17 |
+
"lstrip": false,
|
| 18 |
+
"normalized": false,
|
| 19 |
+
"rstrip": false,
|
| 20 |
+
"single_word": false
|
| 21 |
+
},
|
| 22 |
+
"pad_token": "</s>",
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
checkpoint-200/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-200/tokenizer_config.json
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"32007": {
|
| 30 |
+
"content": "▁<PRE>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32008": {
|
| 38 |
+
"content": "▁<SUF>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"32009": {
|
| 46 |
+
"content": "▁<MID>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"32010": {
|
| 54 |
+
"content": "▁<EOT>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"additional_special_tokens": [
|
| 63 |
+
"▁<PRE>",
|
| 64 |
+
"▁<MID>",
|
| 65 |
+
"▁<SUF>",
|
| 66 |
+
"▁<EOT>"
|
| 67 |
+
],
|
| 68 |
+
"bos_token": "<s>",
|
| 69 |
+
"clean_up_tokenization_spaces": false,
|
| 70 |
+
"eos_token": "</s>",
|
| 71 |
+
"eot_token": "▁<EOT>",
|
| 72 |
+
"extra_special_tokens": {},
|
| 73 |
+
"fill_token": "<FILL_ME>",
|
| 74 |
+
"legacy": null,
|
| 75 |
+
"middle_token": "▁<MID>",
|
| 76 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 77 |
+
"pad_token": "</s>",
|
| 78 |
+
"prefix_token": "▁<PRE>",
|
| 79 |
+
"sp_model_kwargs": {},
|
| 80 |
+
"suffix_token": "▁<SUF>",
|
| 81 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
| 82 |
+
"unk_token": "<unk>",
|
| 83 |
+
"use_default_system_prompt": false
|
| 84 |
+
}
|
checkpoint-200/trainer_state.json
ADDED
|
@@ -0,0 +1,256 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.6796941376380629,
|
| 6 |
+
"eval_steps": 100,
|
| 7 |
+
"global_step": 200,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 1.1900819569826127,
|
| 14 |
+
"epoch": 0.033984706881903144,
|
| 15 |
+
"grad_norm": 0.107421875,
|
| 16 |
+
"learning_rate": 6.666666666666667e-05,
|
| 17 |
+
"loss": 1.2022,
|
| 18 |
+
"mean_token_accuracy": 0.7261606067419052,
|
| 19 |
+
"num_tokens": 32329.0,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 1.1123934835195541,
|
| 24 |
+
"epoch": 0.06796941376380629,
|
| 25 |
+
"grad_norm": 0.138671875,
|
| 26 |
+
"learning_rate": 0.00014074074074074076,
|
| 27 |
+
"loss": 1.1277,
|
| 28 |
+
"mean_token_accuracy": 0.7318252056837082,
|
| 29 |
+
"num_tokens": 67111.0,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 1.0879137217998505,
|
| 34 |
+
"epoch": 0.10195412064570943,
|
| 35 |
+
"grad_norm": 0.3203125,
|
| 36 |
+
"learning_rate": 0.00019999731865174213,
|
| 37 |
+
"loss": 1.0625,
|
| 38 |
+
"mean_token_accuracy": 0.7478782564401627,
|
| 39 |
+
"num_tokens": 101352.0,
|
| 40 |
+
"step": 30
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 0.9986169628798962,
|
| 44 |
+
"epoch": 0.13593882752761258,
|
| 45 |
+
"grad_norm": 0.2890625,
|
| 46 |
+
"learning_rate": 0.00019990348656007261,
|
| 47 |
+
"loss": 1.0079,
|
| 48 |
+
"mean_token_accuracy": 0.7581020414829254,
|
| 49 |
+
"num_tokens": 133883.0,
|
| 50 |
+
"step": 40
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 1.05185257345438,
|
| 54 |
+
"epoch": 0.16992353440951571,
|
| 55 |
+
"grad_norm": 0.294921875,
|
| 56 |
+
"learning_rate": 0.00019967573081342103,
|
| 57 |
+
"loss": 1.0335,
|
| 58 |
+
"mean_token_accuracy": 0.7543211042881012,
|
| 59 |
+
"num_tokens": 168562.0,
|
| 60 |
+
"step": 50
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 0.9918051429092885,
|
| 64 |
+
"epoch": 0.20390824129141885,
|
| 65 |
+
"grad_norm": 0.263671875,
|
| 66 |
+
"learning_rate": 0.00019931435672527624,
|
| 67 |
+
"loss": 0.9977,
|
| 68 |
+
"mean_token_accuracy": 0.755571472644806,
|
| 69 |
+
"num_tokens": 202299.0,
|
| 70 |
+
"step": 60
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 0.8909615643322468,
|
| 74 |
+
"epoch": 0.23789294817332202,
|
| 75 |
+
"grad_norm": 0.298828125,
|
| 76 |
+
"learning_rate": 0.00019881984872856817,
|
| 77 |
+
"loss": 0.9168,
|
| 78 |
+
"mean_token_accuracy": 0.7724857151508331,
|
| 79 |
+
"num_tokens": 237132.0,
|
| 80 |
+
"step": 70
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 0.9534411959350109,
|
| 84 |
+
"epoch": 0.27187765505522515,
|
| 85 |
+
"grad_norm": 0.3203125,
|
| 86 |
+
"learning_rate": 0.00019819286972627066,
|
| 87 |
+
"loss": 0.9673,
|
| 88 |
+
"mean_token_accuracy": 0.7637621074914932,
|
| 89 |
+
"num_tokens": 271644.0,
|
| 90 |
+
"step": 80
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 0.9248364262282849,
|
| 94 |
+
"epoch": 0.3058623619371283,
|
| 95 |
+
"grad_norm": 0.26171875,
|
| 96 |
+
"learning_rate": 0.00019743426020275994,
|
| 97 |
+
"loss": 0.9077,
|
| 98 |
+
"mean_token_accuracy": 0.7676862999796867,
|
| 99 |
+
"num_tokens": 306939.0,
|
| 100 |
+
"step": 90
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 1.0025891564786433,
|
| 104 |
+
"epoch": 0.33984706881903143,
|
| 105 |
+
"grad_norm": 0.28125,
|
| 106 |
+
"learning_rate": 0.00019654503709711982,
|
| 107 |
+
"loss": 1.0295,
|
| 108 |
+
"mean_token_accuracy": 0.7536625176668167,
|
| 109 |
+
"num_tokens": 341079.0,
|
| 110 |
+
"step": 100
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.33984706881903143,
|
| 114 |
+
"eval_entropy": 0.9100993389175052,
|
| 115 |
+
"eval_loss": 0.9260265231132507,
|
| 116 |
+
"eval_mean_token_accuracy": 0.7760482584538103,
|
| 117 |
+
"eval_num_tokens": 341079.0,
|
| 118 |
+
"eval_runtime": 140.9825,
|
| 119 |
+
"eval_samples_per_second": 1.043,
|
| 120 |
+
"eval_steps_per_second": 1.043,
|
| 121 |
+
"step": 100
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"entropy": 0.9492803812026978,
|
| 125 |
+
"epoch": 0.37383177570093457,
|
| 126 |
+
"grad_norm": 0.2578125,
|
| 127 |
+
"learning_rate": 0.00019552639243990402,
|
| 128 |
+
"loss": 0.9391,
|
| 129 |
+
"mean_token_accuracy": 0.7675268396735191,
|
| 130 |
+
"num_tokens": 374431.0,
|
| 131 |
+
"step": 110
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"entropy": 0.86210857629776,
|
| 135 |
+
"epoch": 0.4078164825828377,
|
| 136 |
+
"grad_norm": 0.30078125,
|
| 137 |
+
"learning_rate": 0.00019437969175518295,
|
| 138 |
+
"loss": 0.8868,
|
| 139 |
+
"mean_token_accuracy": 0.7805617764592171,
|
| 140 |
+
"num_tokens": 410401.0,
|
| 141 |
+
"step": 120
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"entropy": 0.9226490631699562,
|
| 145 |
+
"epoch": 0.44180118946474084,
|
| 146 |
+
"grad_norm": 0.3046875,
|
| 147 |
+
"learning_rate": 0.0001931064722300175,
|
| 148 |
+
"loss": 0.9118,
|
| 149 |
+
"mean_token_accuracy": 0.7770121544599533,
|
| 150 |
+
"num_tokens": 443280.0,
|
| 151 |
+
"step": 130
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"entropy": 0.8999310165643692,
|
| 155 |
+
"epoch": 0.47578589634664403,
|
| 156 |
+
"grad_norm": 0.2734375,
|
| 157 |
+
"learning_rate": 0.00019170844065381285,
|
| 158 |
+
"loss": 0.9117,
|
| 159 |
+
"mean_token_accuracy": 0.7742907002568244,
|
| 160 |
+
"num_tokens": 478900.0,
|
| 161 |
+
"step": 140
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"entropy": 0.8831319987773896,
|
| 165 |
+
"epoch": 0.5097706032285472,
|
| 166 |
+
"grad_norm": 0.255859375,
|
| 167 |
+
"learning_rate": 0.00019018747113031564,
|
| 168 |
+
"loss": 0.8893,
|
| 169 |
+
"mean_token_accuracy": 0.7864658862352372,
|
| 170 |
+
"num_tokens": 513687.0,
|
| 171 |
+
"step": 150
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"entropy": 0.8636823572218418,
|
| 175 |
+
"epoch": 0.5437553101104503,
|
| 176 |
+
"grad_norm": 0.490234375,
|
| 177 |
+
"learning_rate": 0.000188545602565321,
|
| 178 |
+
"loss": 0.8824,
|
| 179 |
+
"mean_token_accuracy": 0.7811477512121201,
|
| 180 |
+
"num_tokens": 549223.0,
|
| 181 |
+
"step": 160
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"entropy": 0.9621140897274018,
|
| 185 |
+
"epoch": 0.5777400169923534,
|
| 186 |
+
"grad_norm": 0.30859375,
|
| 187 |
+
"learning_rate": 0.00018678503593345754,
|
| 188 |
+
"loss": 0.959,
|
| 189 |
+
"mean_token_accuracy": 0.765991534292698,
|
| 190 |
+
"num_tokens": 582348.0,
|
| 191 |
+
"step": 170
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"entropy": 0.9770274326205254,
|
| 195 |
+
"epoch": 0.6117247238742566,
|
| 196 |
+
"grad_norm": 0.345703125,
|
| 197 |
+
"learning_rate": 0.00018490813132771393,
|
| 198 |
+
"loss": 0.9698,
|
| 199 |
+
"mean_token_accuracy": 0.767307311296463,
|
| 200 |
+
"num_tokens": 614105.0,
|
| 201 |
+
"step": 180
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"entropy": 0.8605956405401229,
|
| 205 |
+
"epoch": 0.6457094307561597,
|
| 206 |
+
"grad_norm": 0.408203125,
|
| 207 |
+
"learning_rate": 0.00018291740479566283,
|
| 208 |
+
"loss": 0.8559,
|
| 209 |
+
"mean_token_accuracy": 0.7881909653544426,
|
| 210 |
+
"num_tokens": 649045.0,
|
| 211 |
+
"step": 190
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"entropy": 0.8583430543541908,
|
| 215 |
+
"epoch": 0.6796941376380629,
|
| 216 |
+
"grad_norm": 0.26953125,
|
| 217 |
+
"learning_rate": 0.00018081552496662258,
|
| 218 |
+
"loss": 0.8807,
|
| 219 |
+
"mean_token_accuracy": 0.7877280384302139,
|
| 220 |
+
"num_tokens": 681327.0,
|
| 221 |
+
"step": 200
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.6796941376380629,
|
| 225 |
+
"eval_entropy": 0.896664229785504,
|
| 226 |
+
"eval_loss": 0.89118492603302,
|
| 227 |
+
"eval_mean_token_accuracy": 0.7833221583139329,
|
| 228 |
+
"eval_num_tokens": 681327.0,
|
| 229 |
+
"eval_runtime": 140.9445,
|
| 230 |
+
"eval_samples_per_second": 1.043,
|
| 231 |
+
"eval_steps_per_second": 1.043,
|
| 232 |
+
"step": 200
|
| 233 |
+
}
|
| 234 |
+
],
|
| 235 |
+
"logging_steps": 10,
|
| 236 |
+
"max_steps": 885,
|
| 237 |
+
"num_input_tokens_seen": 0,
|
| 238 |
+
"num_train_epochs": 3,
|
| 239 |
+
"save_steps": 100,
|
| 240 |
+
"stateful_callbacks": {
|
| 241 |
+
"TrainerControl": {
|
| 242 |
+
"args": {
|
| 243 |
+
"should_epoch_stop": false,
|
| 244 |
+
"should_evaluate": false,
|
| 245 |
+
"should_log": false,
|
| 246 |
+
"should_save": true,
|
| 247 |
+
"should_training_stop": false
|
| 248 |
+
},
|
| 249 |
+
"attributes": {}
|
| 250 |
+
}
|
| 251 |
+
},
|
| 252 |
+
"total_flos": 2.704512984256512e+16,
|
| 253 |
+
"train_batch_size": 1,
|
| 254 |
+
"trial_name": null,
|
| 255 |
+
"trial_params": null
|
| 256 |
+
}
|
checkpoint-200/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be523aaac59d69ae5ec9c8576a8ed2c5b5e19240aee6056559023b48d8fa85f8
|
| 3 |
+
size 6161
|
checkpoint-300/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: codellama/CodeLlama-7b-hf
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:codellama/CodeLlama-7b-hf
|
| 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 0.18.0
|
checkpoint-300/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": "codellama/CodeLlama-7b-hf",
|
| 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": 32,
|
| 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": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 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 |
+
}
|
checkpoint-300/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:70c582e19a4946ff2f0ee7e0d20f3fffb8fb9ad63237e0f4d8706bda0a3caaab
|
| 3 |
+
size 16794456
|
checkpoint-300/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4dabad76c635404d0e438222a2100429fc25f5605ca8490915ccf53fe219aaef
|
| 3 |
+
size 17192139
|
checkpoint-300/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:36b11c1e37bc8bd075d0af84cdec85648ec8d5c7cbb3d72e1ff14568e6c860f0
|
| 3 |
+
size 14645
|
checkpoint-300/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5ef20fe686595564c1432a7f12c7bfd8a493080340a1bc4720458d76f2a95359
|
| 3 |
+
size 1465
|
checkpoint-300/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"▁<PRE>",
|
| 4 |
+
"▁<MID>",
|
| 5 |
+
"▁<SUF>",
|
| 6 |
+
"▁<EOT>"
|
| 7 |
+
],
|
| 8 |
+
"bos_token": {
|
| 9 |
+
"content": "<s>",
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"normalized": false,
|
| 12 |
+
"rstrip": false,
|
| 13 |
+
"single_word": false
|
| 14 |
+
},
|
| 15 |
+
"eos_token": {
|
| 16 |
+
"content": "</s>",
|
| 17 |
+
"lstrip": false,
|
| 18 |
+
"normalized": false,
|
| 19 |
+
"rstrip": false,
|
| 20 |
+
"single_word": false
|
| 21 |
+
},
|
| 22 |
+
"pad_token": "</s>",
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
checkpoint-300/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-300/tokenizer_config.json
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"32007": {
|
| 30 |
+
"content": "▁<PRE>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32008": {
|
| 38 |
+
"content": "▁<SUF>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"32009": {
|
| 46 |
+
"content": "▁<MID>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"32010": {
|
| 54 |
+
"content": "▁<EOT>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"additional_special_tokens": [
|
| 63 |
+
"▁<PRE>",
|
| 64 |
+
"▁<MID>",
|
| 65 |
+
"▁<SUF>",
|
| 66 |
+
"▁<EOT>"
|
| 67 |
+
],
|
| 68 |
+
"bos_token": "<s>",
|
| 69 |
+
"clean_up_tokenization_spaces": false,
|
| 70 |
+
"eos_token": "</s>",
|
| 71 |
+
"eot_token": "▁<EOT>",
|
| 72 |
+
"extra_special_tokens": {},
|
| 73 |
+
"fill_token": "<FILL_ME>",
|
| 74 |
+
"legacy": null,
|
| 75 |
+
"middle_token": "▁<MID>",
|
| 76 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 77 |
+
"pad_token": "</s>",
|
| 78 |
+
"prefix_token": "▁<PRE>",
|
| 79 |
+
"sp_model_kwargs": {},
|
| 80 |
+
"suffix_token": "▁<SUF>",
|
| 81 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
| 82 |
+
"unk_token": "<unk>",
|
| 83 |
+
"use_default_system_prompt": false
|
| 84 |
+
}
|
checkpoint-300/trainer_state.json
ADDED
|
@@ -0,0 +1,367 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0169923534409515,
|
| 6 |
+
"eval_steps": 100,
|
| 7 |
+
"global_step": 300,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 1.1900819569826127,
|
| 14 |
+
"epoch": 0.033984706881903144,
|
| 15 |
+
"grad_norm": 0.107421875,
|
| 16 |
+
"learning_rate": 6.666666666666667e-05,
|
| 17 |
+
"loss": 1.2022,
|
| 18 |
+
"mean_token_accuracy": 0.7261606067419052,
|
| 19 |
+
"num_tokens": 32329.0,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 1.1123934835195541,
|
| 24 |
+
"epoch": 0.06796941376380629,
|
| 25 |
+
"grad_norm": 0.138671875,
|
| 26 |
+
"learning_rate": 0.00014074074074074076,
|
| 27 |
+
"loss": 1.1277,
|
| 28 |
+
"mean_token_accuracy": 0.7318252056837082,
|
| 29 |
+
"num_tokens": 67111.0,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 1.0879137217998505,
|
| 34 |
+
"epoch": 0.10195412064570943,
|
| 35 |
+
"grad_norm": 0.3203125,
|
| 36 |
+
"learning_rate": 0.00019999731865174213,
|
| 37 |
+
"loss": 1.0625,
|
| 38 |
+
"mean_token_accuracy": 0.7478782564401627,
|
| 39 |
+
"num_tokens": 101352.0,
|
| 40 |
+
"step": 30
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 0.9986169628798962,
|
| 44 |
+
"epoch": 0.13593882752761258,
|
| 45 |
+
"grad_norm": 0.2890625,
|
| 46 |
+
"learning_rate": 0.00019990348656007261,
|
| 47 |
+
"loss": 1.0079,
|
| 48 |
+
"mean_token_accuracy": 0.7581020414829254,
|
| 49 |
+
"num_tokens": 133883.0,
|
| 50 |
+
"step": 40
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 1.05185257345438,
|
| 54 |
+
"epoch": 0.16992353440951571,
|
| 55 |
+
"grad_norm": 0.294921875,
|
| 56 |
+
"learning_rate": 0.00019967573081342103,
|
| 57 |
+
"loss": 1.0335,
|
| 58 |
+
"mean_token_accuracy": 0.7543211042881012,
|
| 59 |
+
"num_tokens": 168562.0,
|
| 60 |
+
"step": 50
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 0.9918051429092885,
|
| 64 |
+
"epoch": 0.20390824129141885,
|
| 65 |
+
"grad_norm": 0.263671875,
|
| 66 |
+
"learning_rate": 0.00019931435672527624,
|
| 67 |
+
"loss": 0.9977,
|
| 68 |
+
"mean_token_accuracy": 0.755571472644806,
|
| 69 |
+
"num_tokens": 202299.0,
|
| 70 |
+
"step": 60
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 0.8909615643322468,
|
| 74 |
+
"epoch": 0.23789294817332202,
|
| 75 |
+
"grad_norm": 0.298828125,
|
| 76 |
+
"learning_rate": 0.00019881984872856817,
|
| 77 |
+
"loss": 0.9168,
|
| 78 |
+
"mean_token_accuracy": 0.7724857151508331,
|
| 79 |
+
"num_tokens": 237132.0,
|
| 80 |
+
"step": 70
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 0.9534411959350109,
|
| 84 |
+
"epoch": 0.27187765505522515,
|
| 85 |
+
"grad_norm": 0.3203125,
|
| 86 |
+
"learning_rate": 0.00019819286972627066,
|
| 87 |
+
"loss": 0.9673,
|
| 88 |
+
"mean_token_accuracy": 0.7637621074914932,
|
| 89 |
+
"num_tokens": 271644.0,
|
| 90 |
+
"step": 80
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 0.9248364262282849,
|
| 94 |
+
"epoch": 0.3058623619371283,
|
| 95 |
+
"grad_norm": 0.26171875,
|
| 96 |
+
"learning_rate": 0.00019743426020275994,
|
| 97 |
+
"loss": 0.9077,
|
| 98 |
+
"mean_token_accuracy": 0.7676862999796867,
|
| 99 |
+
"num_tokens": 306939.0,
|
| 100 |
+
"step": 90
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 1.0025891564786433,
|
| 104 |
+
"epoch": 0.33984706881903143,
|
| 105 |
+
"grad_norm": 0.28125,
|
| 106 |
+
"learning_rate": 0.00019654503709711982,
|
| 107 |
+
"loss": 1.0295,
|
| 108 |
+
"mean_token_accuracy": 0.7536625176668167,
|
| 109 |
+
"num_tokens": 341079.0,
|
| 110 |
+
"step": 100
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.33984706881903143,
|
| 114 |
+
"eval_entropy": 0.9100993389175052,
|
| 115 |
+
"eval_loss": 0.9260265231132507,
|
| 116 |
+
"eval_mean_token_accuracy": 0.7760482584538103,
|
| 117 |
+
"eval_num_tokens": 341079.0,
|
| 118 |
+
"eval_runtime": 140.9825,
|
| 119 |
+
"eval_samples_per_second": 1.043,
|
| 120 |
+
"eval_steps_per_second": 1.043,
|
| 121 |
+
"step": 100
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"entropy": 0.9492803812026978,
|
| 125 |
+
"epoch": 0.37383177570093457,
|
| 126 |
+
"grad_norm": 0.2578125,
|
| 127 |
+
"learning_rate": 0.00019552639243990402,
|
| 128 |
+
"loss": 0.9391,
|
| 129 |
+
"mean_token_accuracy": 0.7675268396735191,
|
| 130 |
+
"num_tokens": 374431.0,
|
| 131 |
+
"step": 110
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"entropy": 0.86210857629776,
|
| 135 |
+
"epoch": 0.4078164825828377,
|
| 136 |
+
"grad_norm": 0.30078125,
|
| 137 |
+
"learning_rate": 0.00019437969175518295,
|
| 138 |
+
"loss": 0.8868,
|
| 139 |
+
"mean_token_accuracy": 0.7805617764592171,
|
| 140 |
+
"num_tokens": 410401.0,
|
| 141 |
+
"step": 120
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"entropy": 0.9226490631699562,
|
| 145 |
+
"epoch": 0.44180118946474084,
|
| 146 |
+
"grad_norm": 0.3046875,
|
| 147 |
+
"learning_rate": 0.0001931064722300175,
|
| 148 |
+
"loss": 0.9118,
|
| 149 |
+
"mean_token_accuracy": 0.7770121544599533,
|
| 150 |
+
"num_tokens": 443280.0,
|
| 151 |
+
"step": 130
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"entropy": 0.8999310165643692,
|
| 155 |
+
"epoch": 0.47578589634664403,
|
| 156 |
+
"grad_norm": 0.2734375,
|
| 157 |
+
"learning_rate": 0.00019170844065381285,
|
| 158 |
+
"loss": 0.9117,
|
| 159 |
+
"mean_token_accuracy": 0.7742907002568244,
|
| 160 |
+
"num_tokens": 478900.0,
|
| 161 |
+
"step": 140
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"entropy": 0.8831319987773896,
|
| 165 |
+
"epoch": 0.5097706032285472,
|
| 166 |
+
"grad_norm": 0.255859375,
|
| 167 |
+
"learning_rate": 0.00019018747113031564,
|
| 168 |
+
"loss": 0.8893,
|
| 169 |
+
"mean_token_accuracy": 0.7864658862352372,
|
| 170 |
+
"num_tokens": 513687.0,
|
| 171 |
+
"step": 150
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"entropy": 0.8636823572218418,
|
| 175 |
+
"epoch": 0.5437553101104503,
|
| 176 |
+
"grad_norm": 0.490234375,
|
| 177 |
+
"learning_rate": 0.000188545602565321,
|
| 178 |
+
"loss": 0.8824,
|
| 179 |
+
"mean_token_accuracy": 0.7811477512121201,
|
| 180 |
+
"num_tokens": 549223.0,
|
| 181 |
+
"step": 160
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"entropy": 0.9621140897274018,
|
| 185 |
+
"epoch": 0.5777400169923534,
|
| 186 |
+
"grad_norm": 0.30859375,
|
| 187 |
+
"learning_rate": 0.00018678503593345754,
|
| 188 |
+
"loss": 0.959,
|
| 189 |
+
"mean_token_accuracy": 0.765991534292698,
|
| 190 |
+
"num_tokens": 582348.0,
|
| 191 |
+
"step": 170
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"entropy": 0.9770274326205254,
|
| 195 |
+
"epoch": 0.6117247238742566,
|
| 196 |
+
"grad_norm": 0.345703125,
|
| 197 |
+
"learning_rate": 0.00018490813132771393,
|
| 198 |
+
"loss": 0.9698,
|
| 199 |
+
"mean_token_accuracy": 0.767307311296463,
|
| 200 |
+
"num_tokens": 614105.0,
|
| 201 |
+
"step": 180
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"entropy": 0.8605956405401229,
|
| 205 |
+
"epoch": 0.6457094307561597,
|
| 206 |
+
"grad_norm": 0.408203125,
|
| 207 |
+
"learning_rate": 0.00018291740479566283,
|
| 208 |
+
"loss": 0.8559,
|
| 209 |
+
"mean_token_accuracy": 0.7881909653544426,
|
| 210 |
+
"num_tokens": 649045.0,
|
| 211 |
+
"step": 190
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"entropy": 0.8583430543541908,
|
| 215 |
+
"epoch": 0.6796941376380629,
|
| 216 |
+
"grad_norm": 0.26953125,
|
| 217 |
+
"learning_rate": 0.00018081552496662258,
|
| 218 |
+
"loss": 0.8807,
|
| 219 |
+
"mean_token_accuracy": 0.7877280384302139,
|
| 220 |
+
"num_tokens": 681327.0,
|
| 221 |
+
"step": 200
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.6796941376380629,
|
| 225 |
+
"eval_entropy": 0.896664229785504,
|
| 226 |
+
"eval_loss": 0.89118492603302,
|
| 227 |
+
"eval_mean_token_accuracy": 0.7833221583139329,
|
| 228 |
+
"eval_num_tokens": 681327.0,
|
| 229 |
+
"eval_runtime": 140.9445,
|
| 230 |
+
"eval_samples_per_second": 1.043,
|
| 231 |
+
"eval_steps_per_second": 1.043,
|
| 232 |
+
"step": 200
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"entropy": 0.9148187682032585,
|
| 236 |
+
"epoch": 0.713678844519966,
|
| 237 |
+
"grad_norm": 0.287109375,
|
| 238 |
+
"learning_rate": 0.00017860530947427875,
|
| 239 |
+
"loss": 0.9274,
|
| 240 |
+
"mean_token_accuracy": 0.7749700739979744,
|
| 241 |
+
"num_tokens": 714260.0,
|
| 242 |
+
"step": 210
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"entropy": 0.923950819671154,
|
| 246 |
+
"epoch": 0.7476635514018691,
|
| 247 |
+
"grad_norm": 0.32421875,
|
| 248 |
+
"learning_rate": 0.0001762897211795607,
|
| 249 |
+
"loss": 0.8731,
|
| 250 |
+
"mean_token_accuracy": 0.7750329807400703,
|
| 251 |
+
"num_tokens": 746221.0,
|
| 252 |
+
"step": 220
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"entropy": 1.0102886088192462,
|
| 256 |
+
"epoch": 0.7816482582837723,
|
| 257 |
+
"grad_norm": 0.330078125,
|
| 258 |
+
"learning_rate": 0.0001738718641988365,
|
| 259 |
+
"loss": 1.0153,
|
| 260 |
+
"mean_token_accuracy": 0.7520556971430779,
|
| 261 |
+
"num_tokens": 781925.0,
|
| 262 |
+
"step": 230
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"entropy": 0.8034560449421406,
|
| 266 |
+
"epoch": 0.8156329651656754,
|
| 267 |
+
"grad_norm": 0.32421875,
|
| 268 |
+
"learning_rate": 0.00017135497974275088,
|
| 269 |
+
"loss": 0.8024,
|
| 270 |
+
"mean_token_accuracy": 0.8065776988863945,
|
| 271 |
+
"num_tokens": 819257.0,
|
| 272 |
+
"step": 240
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"entropy": 0.8587650842964649,
|
| 276 |
+
"epoch": 0.8496176720475785,
|
| 277 |
+
"grad_norm": 0.244140625,
|
| 278 |
+
"learning_rate": 0.00016874244177128396,
|
| 279 |
+
"loss": 0.8729,
|
| 280 |
+
"mean_token_accuracy": 0.7839998126029968,
|
| 281 |
+
"num_tokens": 854177.0,
|
| 282 |
+
"step": 250
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"entropy": 0.8471586465835571,
|
| 286 |
+
"epoch": 0.8836023789294817,
|
| 287 |
+
"grad_norm": 0.333984375,
|
| 288 |
+
"learning_rate": 0.00016603775247085546,
|
| 289 |
+
"loss": 0.8693,
|
| 290 |
+
"mean_token_accuracy": 0.7884811326861382,
|
| 291 |
+
"num_tokens": 887426.0,
|
| 292 |
+
"step": 260
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"entropy": 0.8740401305258274,
|
| 296 |
+
"epoch": 0.9175870858113849,
|
| 297 |
+
"grad_norm": 0.3125,
|
| 298 |
+
"learning_rate": 0.00016324453755953773,
|
| 299 |
+
"loss": 0.881,
|
| 300 |
+
"mean_token_accuracy": 0.787057913839817,
|
| 301 |
+
"num_tokens": 918169.0,
|
| 302 |
+
"step": 270
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"entropy": 0.8283644251525402,
|
| 306 |
+
"epoch": 0.9515717926932881,
|
| 307 |
+
"grad_norm": 0.32421875,
|
| 308 |
+
"learning_rate": 0.00016036654142667043,
|
| 309 |
+
"loss": 0.8293,
|
| 310 |
+
"mean_token_accuracy": 0.7984860435128212,
|
| 311 |
+
"num_tokens": 953966.0,
|
| 312 |
+
"step": 280
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"entropy": 0.8554800219833851,
|
| 316 |
+
"epoch": 0.9855564995751912,
|
| 317 |
+
"grad_norm": 0.40234375,
|
| 318 |
+
"learning_rate": 0.00015740762211339314,
|
| 319 |
+
"loss": 0.8646,
|
| 320 |
+
"mean_token_accuracy": 0.7841584324836731,
|
| 321 |
+
"num_tokens": 986605.0,
|
| 322 |
+
"step": 290
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"entropy": 0.8761118473233404,
|
| 326 |
+
"epoch": 1.0169923534409515,
|
| 327 |
+
"grad_norm": 0.29296875,
|
| 328 |
+
"learning_rate": 0.00015437174614082416,
|
| 329 |
+
"loss": 0.9419,
|
| 330 |
+
"mean_token_accuracy": 0.7891149762514476,
|
| 331 |
+
"num_tokens": 1018372.0,
|
| 332 |
+
"step": 300
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.0169923534409515,
|
| 336 |
+
"eval_entropy": 0.8560160027474774,
|
| 337 |
+
"eval_loss": 0.8672717809677124,
|
| 338 |
+
"eval_mean_token_accuracy": 0.7890248249988167,
|
| 339 |
+
"eval_num_tokens": 1018372.0,
|
| 340 |
+
"eval_runtime": 140.8836,
|
| 341 |
+
"eval_samples_per_second": 1.043,
|
| 342 |
+
"eval_steps_per_second": 1.043,
|
| 343 |
+
"step": 300
|
| 344 |
+
}
|
| 345 |
+
],
|
| 346 |
+
"logging_steps": 10,
|
| 347 |
+
"max_steps": 885,
|
| 348 |
+
"num_input_tokens_seen": 0,
|
| 349 |
+
"num_train_epochs": 3,
|
| 350 |
+
"save_steps": 100,
|
| 351 |
+
"stateful_callbacks": {
|
| 352 |
+
"TrainerControl": {
|
| 353 |
+
"args": {
|
| 354 |
+
"should_epoch_stop": false,
|
| 355 |
+
"should_evaluate": false,
|
| 356 |
+
"should_log": false,
|
| 357 |
+
"should_save": true,
|
| 358 |
+
"should_training_stop": false
|
| 359 |
+
},
|
| 360 |
+
"attributes": {}
|
| 361 |
+
}
|
| 362 |
+
},
|
| 363 |
+
"total_flos": 4.042405917868032e+16,
|
| 364 |
+
"train_batch_size": 1,
|
| 365 |
+
"trial_name": null,
|
| 366 |
+
"trial_params": null
|
| 367 |
+
}
|
checkpoint-300/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be523aaac59d69ae5ec9c8576a8ed2c5b5e19240aee6056559023b48d8fa85f8
|
| 3 |
+
size 6161
|
checkpoint-400/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: codellama/CodeLlama-7b-hf
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:codellama/CodeLlama-7b-hf
|
| 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 0.18.0
|
checkpoint-400/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": "codellama/CodeLlama-7b-hf",
|
| 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": 32,
|
| 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": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 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 |
+
}
|
checkpoint-400/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d966cbb5adfc3a289dc38d4916aa4ce7d02cf9b787e35f42c2947e494ff77ca0
|
| 3 |
+
size 16794456
|
checkpoint-400/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0b4acfa30b0b6880b3cd15d1bf6e557d5ac23145b7e803be18c9fcdcbe7ebe0e
|
| 3 |
+
size 17192139
|
checkpoint-400/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:86a634bdf900caeadc121395ee5a65839dcdb8774fbebe092b7068f4e3be6b9e
|
| 3 |
+
size 14645
|
checkpoint-400/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:36c5a88c915ba7053aed812fb6f13ed9035d0b1069320b12dd5e0e7ad07073e4
|
| 3 |
+
size 1465
|
checkpoint-400/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"▁<PRE>",
|
| 4 |
+
"▁<MID>",
|
| 5 |
+
"▁<SUF>",
|
| 6 |
+
"▁<EOT>"
|
| 7 |
+
],
|
| 8 |
+
"bos_token": {
|
| 9 |
+
"content": "<s>",
|
| 10 |
+
"lstrip": false,
|
| 11 |
+
"normalized": false,
|
| 12 |
+
"rstrip": false,
|
| 13 |
+
"single_word": false
|
| 14 |
+
},
|
| 15 |
+
"eos_token": {
|
| 16 |
+
"content": "</s>",
|
| 17 |
+
"lstrip": false,
|
| 18 |
+
"normalized": false,
|
| 19 |
+
"rstrip": false,
|
| 20 |
+
"single_word": false
|
| 21 |
+
},
|
| 22 |
+
"pad_token": "</s>",
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
checkpoint-400/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-400/tokenizer_config.json
ADDED
|
@@ -0,0 +1,84 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"0": {
|
| 6 |
+
"content": "<unk>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"1": {
|
| 14 |
+
"content": "<s>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"2": {
|
| 22 |
+
"content": "</s>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"32007": {
|
| 30 |
+
"content": "▁<PRE>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"32008": {
|
| 38 |
+
"content": "▁<SUF>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"32009": {
|
| 46 |
+
"content": "▁<MID>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"32010": {
|
| 54 |
+
"content": "▁<EOT>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
}
|
| 61 |
+
},
|
| 62 |
+
"additional_special_tokens": [
|
| 63 |
+
"▁<PRE>",
|
| 64 |
+
"▁<MID>",
|
| 65 |
+
"▁<SUF>",
|
| 66 |
+
"▁<EOT>"
|
| 67 |
+
],
|
| 68 |
+
"bos_token": "<s>",
|
| 69 |
+
"clean_up_tokenization_spaces": false,
|
| 70 |
+
"eos_token": "</s>",
|
| 71 |
+
"eot_token": "▁<EOT>",
|
| 72 |
+
"extra_special_tokens": {},
|
| 73 |
+
"fill_token": "<FILL_ME>",
|
| 74 |
+
"legacy": null,
|
| 75 |
+
"middle_token": "▁<MID>",
|
| 76 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 77 |
+
"pad_token": "</s>",
|
| 78 |
+
"prefix_token": "▁<PRE>",
|
| 79 |
+
"sp_model_kwargs": {},
|
| 80 |
+
"suffix_token": "▁<SUF>",
|
| 81 |
+
"tokenizer_class": "CodeLlamaTokenizer",
|
| 82 |
+
"unk_token": "<unk>",
|
| 83 |
+
"use_default_system_prompt": false
|
| 84 |
+
}
|
checkpoint-400/trainer_state.json
ADDED
|
@@ -0,0 +1,478 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.3568394222599829,
|
| 6 |
+
"eval_steps": 100,
|
| 7 |
+
"global_step": 400,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 1.1900819569826127,
|
| 14 |
+
"epoch": 0.033984706881903144,
|
| 15 |
+
"grad_norm": 0.107421875,
|
| 16 |
+
"learning_rate": 6.666666666666667e-05,
|
| 17 |
+
"loss": 1.2022,
|
| 18 |
+
"mean_token_accuracy": 0.7261606067419052,
|
| 19 |
+
"num_tokens": 32329.0,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 1.1123934835195541,
|
| 24 |
+
"epoch": 0.06796941376380629,
|
| 25 |
+
"grad_norm": 0.138671875,
|
| 26 |
+
"learning_rate": 0.00014074074074074076,
|
| 27 |
+
"loss": 1.1277,
|
| 28 |
+
"mean_token_accuracy": 0.7318252056837082,
|
| 29 |
+
"num_tokens": 67111.0,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 1.0879137217998505,
|
| 34 |
+
"epoch": 0.10195412064570943,
|
| 35 |
+
"grad_norm": 0.3203125,
|
| 36 |
+
"learning_rate": 0.00019999731865174213,
|
| 37 |
+
"loss": 1.0625,
|
| 38 |
+
"mean_token_accuracy": 0.7478782564401627,
|
| 39 |
+
"num_tokens": 101352.0,
|
| 40 |
+
"step": 30
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 0.9986169628798962,
|
| 44 |
+
"epoch": 0.13593882752761258,
|
| 45 |
+
"grad_norm": 0.2890625,
|
| 46 |
+
"learning_rate": 0.00019990348656007261,
|
| 47 |
+
"loss": 1.0079,
|
| 48 |
+
"mean_token_accuracy": 0.7581020414829254,
|
| 49 |
+
"num_tokens": 133883.0,
|
| 50 |
+
"step": 40
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 1.05185257345438,
|
| 54 |
+
"epoch": 0.16992353440951571,
|
| 55 |
+
"grad_norm": 0.294921875,
|
| 56 |
+
"learning_rate": 0.00019967573081342103,
|
| 57 |
+
"loss": 1.0335,
|
| 58 |
+
"mean_token_accuracy": 0.7543211042881012,
|
| 59 |
+
"num_tokens": 168562.0,
|
| 60 |
+
"step": 50
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 0.9918051429092885,
|
| 64 |
+
"epoch": 0.20390824129141885,
|
| 65 |
+
"grad_norm": 0.263671875,
|
| 66 |
+
"learning_rate": 0.00019931435672527624,
|
| 67 |
+
"loss": 0.9977,
|
| 68 |
+
"mean_token_accuracy": 0.755571472644806,
|
| 69 |
+
"num_tokens": 202299.0,
|
| 70 |
+
"step": 60
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 0.8909615643322468,
|
| 74 |
+
"epoch": 0.23789294817332202,
|
| 75 |
+
"grad_norm": 0.298828125,
|
| 76 |
+
"learning_rate": 0.00019881984872856817,
|
| 77 |
+
"loss": 0.9168,
|
| 78 |
+
"mean_token_accuracy": 0.7724857151508331,
|
| 79 |
+
"num_tokens": 237132.0,
|
| 80 |
+
"step": 70
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 0.9534411959350109,
|
| 84 |
+
"epoch": 0.27187765505522515,
|
| 85 |
+
"grad_norm": 0.3203125,
|
| 86 |
+
"learning_rate": 0.00019819286972627066,
|
| 87 |
+
"loss": 0.9673,
|
| 88 |
+
"mean_token_accuracy": 0.7637621074914932,
|
| 89 |
+
"num_tokens": 271644.0,
|
| 90 |
+
"step": 80
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 0.9248364262282849,
|
| 94 |
+
"epoch": 0.3058623619371283,
|
| 95 |
+
"grad_norm": 0.26171875,
|
| 96 |
+
"learning_rate": 0.00019743426020275994,
|
| 97 |
+
"loss": 0.9077,
|
| 98 |
+
"mean_token_accuracy": 0.7676862999796867,
|
| 99 |
+
"num_tokens": 306939.0,
|
| 100 |
+
"step": 90
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 1.0025891564786433,
|
| 104 |
+
"epoch": 0.33984706881903143,
|
| 105 |
+
"grad_norm": 0.28125,
|
| 106 |
+
"learning_rate": 0.00019654503709711982,
|
| 107 |
+
"loss": 1.0295,
|
| 108 |
+
"mean_token_accuracy": 0.7536625176668167,
|
| 109 |
+
"num_tokens": 341079.0,
|
| 110 |
+
"step": 100
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.33984706881903143,
|
| 114 |
+
"eval_entropy": 0.9100993389175052,
|
| 115 |
+
"eval_loss": 0.9260265231132507,
|
| 116 |
+
"eval_mean_token_accuracy": 0.7760482584538103,
|
| 117 |
+
"eval_num_tokens": 341079.0,
|
| 118 |
+
"eval_runtime": 140.9825,
|
| 119 |
+
"eval_samples_per_second": 1.043,
|
| 120 |
+
"eval_steps_per_second": 1.043,
|
| 121 |
+
"step": 100
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"entropy": 0.9492803812026978,
|
| 125 |
+
"epoch": 0.37383177570093457,
|
| 126 |
+
"grad_norm": 0.2578125,
|
| 127 |
+
"learning_rate": 0.00019552639243990402,
|
| 128 |
+
"loss": 0.9391,
|
| 129 |
+
"mean_token_accuracy": 0.7675268396735191,
|
| 130 |
+
"num_tokens": 374431.0,
|
| 131 |
+
"step": 110
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"entropy": 0.86210857629776,
|
| 135 |
+
"epoch": 0.4078164825828377,
|
| 136 |
+
"grad_norm": 0.30078125,
|
| 137 |
+
"learning_rate": 0.00019437969175518295,
|
| 138 |
+
"loss": 0.8868,
|
| 139 |
+
"mean_token_accuracy": 0.7805617764592171,
|
| 140 |
+
"num_tokens": 410401.0,
|
| 141 |
+
"step": 120
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"entropy": 0.9226490631699562,
|
| 145 |
+
"epoch": 0.44180118946474084,
|
| 146 |
+
"grad_norm": 0.3046875,
|
| 147 |
+
"learning_rate": 0.0001931064722300175,
|
| 148 |
+
"loss": 0.9118,
|
| 149 |
+
"mean_token_accuracy": 0.7770121544599533,
|
| 150 |
+
"num_tokens": 443280.0,
|
| 151 |
+
"step": 130
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"entropy": 0.8999310165643692,
|
| 155 |
+
"epoch": 0.47578589634664403,
|
| 156 |
+
"grad_norm": 0.2734375,
|
| 157 |
+
"learning_rate": 0.00019170844065381285,
|
| 158 |
+
"loss": 0.9117,
|
| 159 |
+
"mean_token_accuracy": 0.7742907002568244,
|
| 160 |
+
"num_tokens": 478900.0,
|
| 161 |
+
"step": 140
|
| 162 |
+
},
|
| 163 |
+
{
|
| 164 |
+
"entropy": 0.8831319987773896,
|
| 165 |
+
"epoch": 0.5097706032285472,
|
| 166 |
+
"grad_norm": 0.255859375,
|
| 167 |
+
"learning_rate": 0.00019018747113031564,
|
| 168 |
+
"loss": 0.8893,
|
| 169 |
+
"mean_token_accuracy": 0.7864658862352372,
|
| 170 |
+
"num_tokens": 513687.0,
|
| 171 |
+
"step": 150
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"entropy": 0.8636823572218418,
|
| 175 |
+
"epoch": 0.5437553101104503,
|
| 176 |
+
"grad_norm": 0.490234375,
|
| 177 |
+
"learning_rate": 0.000188545602565321,
|
| 178 |
+
"loss": 0.8824,
|
| 179 |
+
"mean_token_accuracy": 0.7811477512121201,
|
| 180 |
+
"num_tokens": 549223.0,
|
| 181 |
+
"step": 160
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"entropy": 0.9621140897274018,
|
| 185 |
+
"epoch": 0.5777400169923534,
|
| 186 |
+
"grad_norm": 0.30859375,
|
| 187 |
+
"learning_rate": 0.00018678503593345754,
|
| 188 |
+
"loss": 0.959,
|
| 189 |
+
"mean_token_accuracy": 0.765991534292698,
|
| 190 |
+
"num_tokens": 582348.0,
|
| 191 |
+
"step": 170
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"entropy": 0.9770274326205254,
|
| 195 |
+
"epoch": 0.6117247238742566,
|
| 196 |
+
"grad_norm": 0.345703125,
|
| 197 |
+
"learning_rate": 0.00018490813132771393,
|
| 198 |
+
"loss": 0.9698,
|
| 199 |
+
"mean_token_accuracy": 0.767307311296463,
|
| 200 |
+
"num_tokens": 614105.0,
|
| 201 |
+
"step": 180
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"entropy": 0.8605956405401229,
|
| 205 |
+
"epoch": 0.6457094307561597,
|
| 206 |
+
"grad_norm": 0.408203125,
|
| 207 |
+
"learning_rate": 0.00018291740479566283,
|
| 208 |
+
"loss": 0.8559,
|
| 209 |
+
"mean_token_accuracy": 0.7881909653544426,
|
| 210 |
+
"num_tokens": 649045.0,
|
| 211 |
+
"step": 190
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"entropy": 0.8583430543541908,
|
| 215 |
+
"epoch": 0.6796941376380629,
|
| 216 |
+
"grad_norm": 0.26953125,
|
| 217 |
+
"learning_rate": 0.00018081552496662258,
|
| 218 |
+
"loss": 0.8807,
|
| 219 |
+
"mean_token_accuracy": 0.7877280384302139,
|
| 220 |
+
"num_tokens": 681327.0,
|
| 221 |
+
"step": 200
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 0.6796941376380629,
|
| 225 |
+
"eval_entropy": 0.896664229785504,
|
| 226 |
+
"eval_loss": 0.89118492603302,
|
| 227 |
+
"eval_mean_token_accuracy": 0.7833221583139329,
|
| 228 |
+
"eval_num_tokens": 681327.0,
|
| 229 |
+
"eval_runtime": 140.9445,
|
| 230 |
+
"eval_samples_per_second": 1.043,
|
| 231 |
+
"eval_steps_per_second": 1.043,
|
| 232 |
+
"step": 200
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"entropy": 0.9148187682032585,
|
| 236 |
+
"epoch": 0.713678844519966,
|
| 237 |
+
"grad_norm": 0.287109375,
|
| 238 |
+
"learning_rate": 0.00017860530947427875,
|
| 239 |
+
"loss": 0.9274,
|
| 240 |
+
"mean_token_accuracy": 0.7749700739979744,
|
| 241 |
+
"num_tokens": 714260.0,
|
| 242 |
+
"step": 210
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"entropy": 0.923950819671154,
|
| 246 |
+
"epoch": 0.7476635514018691,
|
| 247 |
+
"grad_norm": 0.32421875,
|
| 248 |
+
"learning_rate": 0.0001762897211795607,
|
| 249 |
+
"loss": 0.8731,
|
| 250 |
+
"mean_token_accuracy": 0.7750329807400703,
|
| 251 |
+
"num_tokens": 746221.0,
|
| 252 |
+
"step": 220
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"entropy": 1.0102886088192462,
|
| 256 |
+
"epoch": 0.7816482582837723,
|
| 257 |
+
"grad_norm": 0.330078125,
|
| 258 |
+
"learning_rate": 0.0001738718641988365,
|
| 259 |
+
"loss": 1.0153,
|
| 260 |
+
"mean_token_accuracy": 0.7520556971430779,
|
| 261 |
+
"num_tokens": 781925.0,
|
| 262 |
+
"step": 230
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"entropy": 0.8034560449421406,
|
| 266 |
+
"epoch": 0.8156329651656754,
|
| 267 |
+
"grad_norm": 0.32421875,
|
| 268 |
+
"learning_rate": 0.00017135497974275088,
|
| 269 |
+
"loss": 0.8024,
|
| 270 |
+
"mean_token_accuracy": 0.8065776988863945,
|
| 271 |
+
"num_tokens": 819257.0,
|
| 272 |
+
"step": 240
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"entropy": 0.8587650842964649,
|
| 276 |
+
"epoch": 0.8496176720475785,
|
| 277 |
+
"grad_norm": 0.244140625,
|
| 278 |
+
"learning_rate": 0.00016874244177128396,
|
| 279 |
+
"loss": 0.8729,
|
| 280 |
+
"mean_token_accuracy": 0.7839998126029968,
|
| 281 |
+
"num_tokens": 854177.0,
|
| 282 |
+
"step": 250
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"entropy": 0.8471586465835571,
|
| 286 |
+
"epoch": 0.8836023789294817,
|
| 287 |
+
"grad_norm": 0.333984375,
|
| 288 |
+
"learning_rate": 0.00016603775247085546,
|
| 289 |
+
"loss": 0.8693,
|
| 290 |
+
"mean_token_accuracy": 0.7884811326861382,
|
| 291 |
+
"num_tokens": 887426.0,
|
| 292 |
+
"step": 260
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"entropy": 0.8740401305258274,
|
| 296 |
+
"epoch": 0.9175870858113849,
|
| 297 |
+
"grad_norm": 0.3125,
|
| 298 |
+
"learning_rate": 0.00016324453755953773,
|
| 299 |
+
"loss": 0.881,
|
| 300 |
+
"mean_token_accuracy": 0.787057913839817,
|
| 301 |
+
"num_tokens": 918169.0,
|
| 302 |
+
"step": 270
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"entropy": 0.8283644251525402,
|
| 306 |
+
"epoch": 0.9515717926932881,
|
| 307 |
+
"grad_norm": 0.32421875,
|
| 308 |
+
"learning_rate": 0.00016036654142667043,
|
| 309 |
+
"loss": 0.8293,
|
| 310 |
+
"mean_token_accuracy": 0.7984860435128212,
|
| 311 |
+
"num_tokens": 953966.0,
|
| 312 |
+
"step": 280
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"entropy": 0.8554800219833851,
|
| 316 |
+
"epoch": 0.9855564995751912,
|
| 317 |
+
"grad_norm": 0.40234375,
|
| 318 |
+
"learning_rate": 0.00015740762211339314,
|
| 319 |
+
"loss": 0.8646,
|
| 320 |
+
"mean_token_accuracy": 0.7841584324836731,
|
| 321 |
+
"num_tokens": 986605.0,
|
| 322 |
+
"step": 290
|
| 323 |
+
},
|
| 324 |
+
{
|
| 325 |
+
"entropy": 0.8761118473233404,
|
| 326 |
+
"epoch": 1.0169923534409515,
|
| 327 |
+
"grad_norm": 0.29296875,
|
| 328 |
+
"learning_rate": 0.00015437174614082416,
|
| 329 |
+
"loss": 0.9419,
|
| 330 |
+
"mean_token_accuracy": 0.7891149762514476,
|
| 331 |
+
"num_tokens": 1018372.0,
|
| 332 |
+
"step": 300
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.0169923534409515,
|
| 336 |
+
"eval_entropy": 0.8560160027474774,
|
| 337 |
+
"eval_loss": 0.8672717809677124,
|
| 338 |
+
"eval_mean_token_accuracy": 0.7890248249988167,
|
| 339 |
+
"eval_num_tokens": 1018372.0,
|
| 340 |
+
"eval_runtime": 140.8836,
|
| 341 |
+
"eval_samples_per_second": 1.043,
|
| 342 |
+
"eval_steps_per_second": 1.043,
|
| 343 |
+
"step": 300
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"entropy": 0.835958081483841,
|
| 347 |
+
"epoch": 1.0509770603228548,
|
| 348 |
+
"grad_norm": 0.3515625,
|
| 349 |
+
"learning_rate": 0.00015126298319281857,
|
| 350 |
+
"loss": 0.8349,
|
| 351 |
+
"mean_token_accuracy": 0.7921741649508476,
|
| 352 |
+
"num_tokens": 1053253.0,
|
| 353 |
+
"step": 310
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"entropy": 0.8159842237830162,
|
| 357 |
+
"epoch": 1.0849617672047578,
|
| 358 |
+
"grad_norm": 0.46875,
|
| 359 |
+
"learning_rate": 0.00014808550066043352,
|
| 360 |
+
"loss": 0.8036,
|
| 361 |
+
"mean_token_accuracy": 0.7972497373819352,
|
| 362 |
+
"num_tokens": 1087084.0,
|
| 363 |
+
"step": 320
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"entropy": 0.8521868549287319,
|
| 367 |
+
"epoch": 1.118946474086661,
|
| 368 |
+
"grad_norm": 0.330078125,
|
| 369 |
+
"learning_rate": 0.00014484355805541413,
|
| 370 |
+
"loss": 0.9106,
|
| 371 |
+
"mean_token_accuracy": 0.7848088085651398,
|
| 372 |
+
"num_tokens": 1121833.0,
|
| 373 |
+
"step": 330
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"entropy": 0.8146591357886791,
|
| 377 |
+
"epoch": 1.152931180968564,
|
| 378 |
+
"grad_norm": 0.412109375,
|
| 379 |
+
"learning_rate": 0.00014154150130018866,
|
| 380 |
+
"loss": 0.7855,
|
| 381 |
+
"mean_token_accuracy": 0.7983845800161362,
|
| 382 |
+
"num_tokens": 1155315.0,
|
| 383 |
+
"step": 340
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"entropy": 0.8469755969941616,
|
| 387 |
+
"epoch": 1.1869158878504673,
|
| 388 |
+
"grad_norm": 0.455078125,
|
| 389 |
+
"learning_rate": 0.00013818375690202774,
|
| 390 |
+
"loss": 0.8677,
|
| 391 |
+
"mean_token_accuracy": 0.7855840787291527,
|
| 392 |
+
"num_tokens": 1188884.0,
|
| 393 |
+
"step": 350
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"entropy": 0.8589501097798348,
|
| 397 |
+
"epoch": 1.2209005947323703,
|
| 398 |
+
"grad_norm": 0.38671875,
|
| 399 |
+
"learning_rate": 0.000134774826019177,
|
| 400 |
+
"loss": 0.8452,
|
| 401 |
+
"mean_token_accuracy": 0.786843791604042,
|
| 402 |
+
"num_tokens": 1223117.0,
|
| 403 |
+
"step": 360
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"entropy": 0.8148165218532085,
|
| 407 |
+
"epoch": 1.2548853016142736,
|
| 408 |
+
"grad_norm": 0.365234375,
|
| 409 |
+
"learning_rate": 0.0001313192784269179,
|
| 410 |
+
"loss": 0.7977,
|
| 411 |
+
"mean_token_accuracy": 0.7989379152655601,
|
| 412 |
+
"num_tokens": 1257970.0,
|
| 413 |
+
"step": 370
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"entropy": 0.8345869470387697,
|
| 417 |
+
"epoch": 1.2888700084961768,
|
| 418 |
+
"grad_norm": 0.37109375,
|
| 419 |
+
"learning_rate": 0.0001278217463916453,
|
| 420 |
+
"loss": 0.8308,
|
| 421 |
+
"mean_token_accuracy": 0.7944282591342926,
|
| 422 |
+
"num_tokens": 1294426.0,
|
| 423 |
+
"step": 380
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"entropy": 0.8046329416334629,
|
| 427 |
+
"epoch": 1.3228547153780799,
|
| 428 |
+
"grad_norm": 0.49609375,
|
| 429 |
+
"learning_rate": 0.00012428691846117372,
|
| 430 |
+
"loss": 0.7869,
|
| 431 |
+
"mean_token_accuracy": 0.8005647033452987,
|
| 432 |
+
"num_tokens": 1327540.0,
|
| 433 |
+
"step": 390
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"entropy": 0.8379782371222972,
|
| 437 |
+
"epoch": 1.3568394222599829,
|
| 438 |
+
"grad_norm": 0.4375,
|
| 439 |
+
"learning_rate": 0.00012071953317959692,
|
| 440 |
+
"loss": 0.8281,
|
| 441 |
+
"mean_token_accuracy": 0.7926659971475601,
|
| 442 |
+
"num_tokens": 1361518.0,
|
| 443 |
+
"step": 400
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.3568394222599829,
|
| 447 |
+
"eval_entropy": 0.8221898901016533,
|
| 448 |
+
"eval_loss": 0.8522771000862122,
|
| 449 |
+
"eval_mean_token_accuracy": 0.7922491832655303,
|
| 450 |
+
"eval_num_tokens": 1361518.0,
|
| 451 |
+
"eval_runtime": 140.9731,
|
| 452 |
+
"eval_samples_per_second": 1.043,
|
| 453 |
+
"eval_steps_per_second": 1.043,
|
| 454 |
+
"step": 400
|
| 455 |
+
}
|
| 456 |
+
],
|
| 457 |
+
"logging_steps": 10,
|
| 458 |
+
"max_steps": 885,
|
| 459 |
+
"num_input_tokens_seen": 0,
|
| 460 |
+
"num_train_epochs": 3,
|
| 461 |
+
"save_steps": 100,
|
| 462 |
+
"stateful_callbacks": {
|
| 463 |
+
"TrainerControl": {
|
| 464 |
+
"args": {
|
| 465 |
+
"should_epoch_stop": false,
|
| 466 |
+
"should_evaluate": false,
|
| 467 |
+
"should_log": false,
|
| 468 |
+
"should_save": true,
|
| 469 |
+
"should_training_stop": false
|
| 470 |
+
},
|
| 471 |
+
"attributes": {}
|
| 472 |
+
}
|
| 473 |
+
},
|
| 474 |
+
"total_flos": 5.404516640759808e+16,
|
| 475 |
+
"train_batch_size": 1,
|
| 476 |
+
"trial_name": null,
|
| 477 |
+
"trial_params": null
|
| 478 |
+
}
|
checkpoint-400/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:be523aaac59d69ae5ec9c8576a8ed2c5b5e19240aee6056559023b48d8fa85f8
|
| 3 |
+
size 6161
|
checkpoint-500/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: codellama/CodeLlama-7b-hf
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:codellama/CodeLlama-7b-hf
|
| 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 0.18.0
|
checkpoint-500/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": "codellama/CodeLlama-7b-hf",
|
| 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": 32,
|
| 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": "0.18.0",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 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 |
+
}
|
checkpoint-500/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45bf22dc7e0afe79cfb94c2a15f2d57290f2123efc4f05037784ac056e65695a
|
| 3 |
+
size 16794456
|