metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_codealpacapy_456_1765305198
results: []
train_codealpacapy_456_1765305198
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the codealpacapy dataset. It achieves the following results on the evaluation set:
- Loss: 0.4399
- 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: 5e-05
- 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 |
|---|---|---|---|---|
| 0.4909 | 1.0 | 1908 | 0.4533 | 1246832 |
| 0.5107 | 2.0 | 3816 | 0.4463 | 2497936 |
| 0.4271 | 3.0 | 5724 | 0.4399 | 3743760 |
| 0.3778 | 4.0 | 7632 | 0.4473 | 4991472 |
| 0.9067 | 5.0 | 9540 | 0.4627 | 6239608 |
| 0.2917 | 6.0 | 11448 | 0.4996 | 7485248 |
| 0.4214 | 7.0 | 13356 | 0.5415 | 8733024 |
| 0.3429 | 8.0 | 15264 | 0.5936 | 9983720 |
| 0.1361 | 9.0 | 17172 | 0.6715 | 11229792 |
| 0.1287 | 10.0 | 19080 | 0.7588 | 12476552 |
| 0.0863 | 11.0 | 20988 | 0.8549 | 13725560 |
| 0.0963 | 12.0 | 22896 | 0.9736 | 14977976 |
| 0.0586 | 13.0 | 24804 | 1.0952 | 16225896 |
| 0.0351 | 14.0 | 26712 | 1.2337 | 17477224 |
| 0.013 | 15.0 | 28620 | 1.3411 | 18726216 |
| 0.0066 | 16.0 | 30528 | 1.4384 | 19973408 |
| 0.0078 | 17.0 | 32436 | 1.5158 | 21226656 |
| 0.0046 | 18.0 | 34344 | 1.5550 | 22472696 |
| 0.0027 | 19.0 | 36252 | 1.5828 | 23722376 |
| 0.0136 | 20.0 | 38160 | 1.5947 | 24973864 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1