|
--- |
|
license: llama2 |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
base_model: codellama/CodeLlama-7b-Instruct-hf |
|
model-index: |
|
- name: finetuningqv1 |
|
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. --> |
|
|
|
# finetuningqv1 |
|
|
|
This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0262 |
|
|
|
## 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: 0.001 |
|
- train_batch_size: 20 |
|
- eval_batch_size: 20 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 8 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.688 | 1.0 | 1 | 2.7935 | |
|
| 2.3134 | 2.0 | 2 | 2.3100 | |
|
| 1.8897 | 3.0 | 3 | 2.0244 | |
|
| 1.5882 | 4.0 | 4 | 1.7493 | |
|
| 1.3105 | 5.0 | 5 | 1.4693 | |
|
| 1.0045 | 6.0 | 6 | 1.2401 | |
|
| 0.7371 | 7.0 | 7 | 1.0937 | |
|
| 0.5443 | 8.0 | 8 | 1.0262 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.36.0 |
|
- Pytorch 2.0.1 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.1 |
|
## Training procedure |
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.6.0 |
|
|
