|
|
--- |
|
|
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_123_1762532132 |
|
|
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_123_1762532132 |
|
|
|
|
|
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: 0.6497 |
|
|
- Num Input Tokens Seen: 24941912 |
|
|
|
|
|
## 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: 123 |
|
|
- 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 | |
|
|
|:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
|
|
| 0.6045 | 1.0 | 1908 | 0.5060 | 1248304 | |
|
|
| 0.4393 | 2.0 | 3816 | 0.4936 | 2497016 | |
|
|
| 0.4425 | 3.0 | 5724 | 0.4876 | 3742552 | |
|
|
| 0.4323 | 4.0 | 7632 | 0.4798 | 4985200 | |
|
|
| 0.4724 | 5.0 | 9540 | 0.4778 | 6233920 | |
|
|
| 0.4912 | 6.0 | 11448 | 0.4766 | 7478504 | |
|
|
| 0.4458 | 7.0 | 13356 | 0.4769 | 8722744 | |
|
|
| 0.7625 | 8.0 | 15264 | 0.4764 | 9977520 | |
|
|
| 0.4813 | 9.0 | 17172 | 0.4771 | 11225416 | |
|
|
| 0.6371 | 10.0 | 19080 | 0.4768 | 12472912 | |
|
|
| 0.5587 | 11.0 | 20988 | 0.4760 | 13721824 | |
|
|
| 0.4563 | 12.0 | 22896 | 0.4780 | 14970528 | |
|
|
| 0.5769 | 13.0 | 24804 | 0.4780 | 16220808 | |
|
|
| 0.3753 | 14.0 | 26712 | 0.4807 | 17464792 | |
|
|
| 0.3651 | 15.0 | 28620 | 0.4802 | 18706976 | |
|
|
| 0.3806 | 16.0 | 30528 | 0.4817 | 19956544 | |
|
|
| 0.3822 | 17.0 | 32436 | 0.4826 | 21204416 | |
|
|
| 0.4014 | 18.0 | 34344 | 0.4838 | 22451928 | |
|
|
| 0.3717 | 19.0 | 36252 | 0.4843 | 23696296 | |
|
|
| 0.5983 | 20.0 | 38160 | 0.4844 | 24941912 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- PEFT 0.15.2 |
|
|
- Transformers 4.51.3 |
|
|
- Pytorch 2.8.0+cu128 |
|
|
- Datasets 3.6.0 |
|
|
- Tokenizers 0.21.1 |
