metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_copa_1757340228
results: []
train_copa_1757340228
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the copa dataset. It achieves the following results on the evaluation set:
- Loss: 0.1133
- Num Input Tokens Seen: 281408
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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.1925 | 0.5 | 45 | 0.1451 | 14016 |
| 0.2215 | 1.0 | 90 | 0.1133 | 28096 |
| 0.1174 | 1.5 | 135 | 0.1259 | 42144 |
| 0.1442 | 2.0 | 180 | 0.1162 | 56352 |
| 0.1186 | 2.5 | 225 | 0.1170 | 70432 |
| 0.2272 | 3.0 | 270 | 0.1436 | 84544 |
| 0.0004 | 3.5 | 315 | 0.1587 | 98688 |
| 0.0823 | 4.0 | 360 | 0.1553 | 112800 |
| 0.0133 | 4.5 | 405 | 0.1595 | 126816 |
| 0.0796 | 5.0 | 450 | 0.1653 | 140800 |
| 0.0007 | 5.5 | 495 | 0.1703 | 154848 |
| 0.002 | 6.0 | 540 | 0.1747 | 168736 |
| 0.0014 | 6.5 | 585 | 0.1790 | 182688 |
| 0.0013 | 7.0 | 630 | 0.1758 | 196896 |
| 0.0012 | 7.5 | 675 | 0.1775 | 211072 |
| 0.0293 | 8.0 | 720 | 0.1754 | 225056 |
| 0.031 | 8.5 | 765 | 0.1780 | 239168 |
| 0.0176 | 9.0 | 810 | 0.1784 | 253312 |
| 0.0006 | 9.5 | 855 | 0.1767 | 267392 |
| 0.1336 | 10.0 | 900 | 0.1792 | 281408 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1