|
--- |
|
license: llama2 |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
base_model: TheBloke/CodeLlama-7B-Instruct-AWQ |
|
model-index: |
|
- name: CodeLlama-7B-Instruct-AWQ-FaVe-rank16-5epochs |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# CodeLlama-7B-Instruct-AWQ-FaVe-rank16-5epochs |
|
|
|
This model is a fine-tuned version of [TheBloke/CodeLlama-7B-Instruct-AWQ](https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-AWQ) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4559 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 0.0002 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 4 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 10 |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:------:|:----:|:---------------:| |
|
| No log | 0.2685 | 10 | 2.1904 | |
|
| 2.1539 | 0.5369 | 20 | 1.3867 | |
|
| 2.1539 | 0.8054 | 30 | 0.9114 | |
|
| 0.9417 | 1.0738 | 40 | 0.7705 | |
|
| 0.9417 | 1.3423 | 50 | 0.7068 | |
|
| 0.632 | 1.6107 | 60 | 0.6554 | |
|
| 0.632 | 1.8792 | 70 | 0.6145 | |
|
| 0.5044 | 2.1477 | 80 | 0.5866 | |
|
| 0.5044 | 2.4161 | 90 | 0.5553 | |
|
| 0.4666 | 2.6846 | 100 | 0.5301 | |
|
| 0.4666 | 2.9530 | 110 | 0.5144 | |
|
| 0.366 | 3.2215 | 120 | 0.4953 | |
|
| 0.366 | 3.4899 | 130 | 0.4918 | |
|
| 0.342 | 3.7584 | 140 | 0.4698 | |
|
| 0.342 | 4.0268 | 150 | 0.4638 | |
|
| 0.2842 | 4.2953 | 160 | 0.4748 | |
|
| 0.2842 | 4.5638 | 170 | 0.4599 | |
|
| 0.2764 | 4.8322 | 180 | 0.4559 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.40.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
