metadata
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_copa_1754649795
results: []
train_copa_1754649795
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: 0.1383
- Num Input Tokens Seen: 281856
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: 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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.5598 | 0.5 | 45 | 0.3143 | 14016 |
| 1.6129 | 1.0 | 90 | 0.2823 | 28096 |
| 0.8986 | 1.5 | 135 | 0.3364 | 42144 |
| 0.162 | 2.0 | 180 | 0.1252 | 56128 |
| 0.0545 | 2.5 | 225 | 0.1659 | 70272 |
| 0.0493 | 3.0 | 270 | 0.1168 | 84352 |
| 0.0166 | 3.5 | 315 | 0.1661 | 98464 |
| 0.0146 | 4.0 | 360 | 0.1141 | 112576 |
| 0.1392 | 4.5 | 405 | 0.1262 | 126624 |
| 0.0007 | 5.0 | 450 | 0.1610 | 140832 |
| 0.0002 | 5.5 | 495 | 0.2902 | 154976 |
| 0.0003 | 6.0 | 540 | 0.1879 | 169056 |
| 0.0013 | 6.5 | 585 | 0.2377 | 183200 |
| 0.0001 | 7.0 | 630 | 0.2483 | 197344 |
| 0.0002 | 7.5 | 675 | 0.2539 | 211392 |
| 0.0001 | 8.0 | 720 | 0.2521 | 225536 |
| 0.0001 | 8.5 | 765 | 0.2462 | 239680 |
| 0.0001 | 9.0 | 810 | 0.2545 | 253696 |
| 0.0001 | 9.5 | 855 | 0.2486 | 267840 |
| 0.0001 | 10.0 | 900 | 0.2497 | 281856 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1