|
--- |
|
license: llama2 |
|
library_name: peft |
|
tags: |
|
- generated_from_trainer |
|
base_model: codellama/CodeLlama-7b-hf |
|
model-index: |
|
- name: codellama-7b-openapi-completion-ctx-lvl-fim-no-spm-inf-seq-4096 |
|
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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bohdan-petryshyn/huggingface/runs/e9c2a4i4) |
|
# codellama-7b-openapi-completion-ctx-lvl-fim-no-spm-inf-seq-4096 |
|
|
|
This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5167 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- total_train_batch_size: 32 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_ratio: 0.05 |
|
- training_steps: 1000 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.4631 | 0.1 | 100 | 0.4945 | |
|
| 0.343 | 0.2 | 200 | 0.4979 | |
|
| 0.3397 | 0.3 | 300 | 0.4996 | |
|
| 0.3424 | 0.4 | 400 | 0.4979 | |
|
| 0.4474 | 0.5 | 500 | 0.5107 | |
|
| 0.2682 | 0.6 | 600 | 0.5066 | |
|
| 0.3116 | 0.7 | 700 | 0.5159 | |
|
| 0.3161 | 0.8 | 800 | 0.5126 | |
|
| 0.3364 | 0.9 | 900 | 0.5163 | |
|
| 0.3115 | 1.0 | 1000 | 0.5167 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.1.dev0 |
|
- Transformers 4.41.0.dev0 |
|
- Pytorch 2.2.2+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
