|
|
--- |
|
|
library_name: peft |
|
|
license: llama3 |
|
|
base_model: meta-llama/Meta-Llama-3-8B-Instruct |
|
|
tags: |
|
|
- llama-factory |
|
|
- p-tuning |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: train_codealpacapy_456_1765235666 |
|
|
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. --> |
|
|
|
|
|
# train_codealpacapy_456_1765235666 |
|
|
|
|
|
This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the codealpacapy dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 8.1253 |
|
|
- Num Input Tokens Seen: 24973864 |
|
|
|
|
|
## 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: 4 |
|
|
- eval_batch_size: 4 |
|
|
- seed: 456 |
|
|
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: cosine |
|
|
- lr_scheduler_warmup_ratio: 0.1 |
|
|
- num_epochs: 20 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
|
|
| 0.5233 | 1.0 | 1908 | 0.4729 | 1246832 | |
|
|
| 0.5393 | 2.0 | 3816 | 0.4684 | 2497936 | |
|
|
| 0.4665 | 3.0 | 5724 | 0.4608 | 3743760 | |
|
|
| 0.4402 | 4.0 | 7632 | 0.4560 | 4991472 | |
|
|
| 1.0149 | 5.0 | 9540 | 0.4551 | 6239608 | |
|
|
| 0.4209 | 6.0 | 11448 | 0.4515 | 7485248 | |
|
|
| 0.6452 | 7.0 | 13356 | 0.4506 | 8733024 | |
|
|
| 0.6306 | 8.0 | 15264 | 0.4495 | 9983720 | |
|
|
| 0.367 | 9.0 | 17172 | 0.4497 | 11229792 | |
|
|
| 0.4111 | 10.0 | 19080 | 0.4492 | 12476552 | |
|
|
| 0.4192 | 11.0 | 20988 | 0.4500 | 13725560 | |
|
|
| 0.453 | 12.0 | 22896 | 0.4507 | 14977976 | |
|
|
| 0.4087 | 13.0 | 24804 | 0.4503 | 16225896 | |
|
|
| 0.5087 | 14.0 | 26712 | 0.4510 | 17477224 | |
|
|
| 0.4207 | 15.0 | 28620 | 0.4529 | 18726216 | |
|
|
| 0.3203 | 16.0 | 30528 | 0.4537 | 19973408 | |
|
|
| 0.3979 | 17.0 | 32436 | 0.4543 | 21226656 | |
|
|
| 0.4305 | 18.0 | 34344 | 0.4551 | 22472696 | |
|
|
| 0.4425 | 19.0 | 36252 | 0.4555 | 23722376 | |
|
|
| 0.7746 | 20.0 | 38160 | 0.4553 | 24973864 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.15.2 |
|
|
- Transformers 4.51.3 |
|
|
- Pytorch 2.8.0+cu128 |
|
|
- Datasets 3.6.0 |
|
|
- Tokenizers 0.21.1 |
