metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prefix-tuning
- generated_from_trainer
model-index:
- name: train_wsc_42_1760609151
results: []
train_wsc_42_1760609151
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the wsc dataset. It achieves the following results on the evaluation set:
- Loss: 0.3522
- Num Input Tokens Seen: 1308280
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.414 | 1.5045 | 167 | 0.4660 | 65984 |
| 0.4193 | 3.0090 | 334 | 0.4927 | 131096 |
| 0.3295 | 4.5135 | 501 | 0.3682 | 196400 |
| 0.4134 | 6.0180 | 668 | 0.3488 | 261392 |
| 0.3588 | 7.5225 | 835 | 0.3535 | 326864 |
| 0.3683 | 9.0270 | 1002 | 0.3525 | 391800 |
| 0.3652 | 10.5315 | 1169 | 0.3491 | 458568 |
| 0.3456 | 12.0360 | 1336 | 0.3909 | 523312 |
| 0.3703 | 13.5405 | 1503 | 0.3534 | 589824 |
| 0.3643 | 15.0450 | 1670 | 0.3588 | 655200 |
| 0.3647 | 16.5495 | 1837 | 0.3570 | 721016 |
| 0.3484 | 18.0541 | 2004 | 0.3501 | 787016 |
| 0.3594 | 19.5586 | 2171 | 0.3501 | 853744 |
| 0.3425 | 21.0631 | 2338 | 0.3509 | 918752 |
| 0.3605 | 22.5676 | 2505 | 0.3516 | 984472 |
| 0.3433 | 24.0721 | 2672 | 0.3534 | 1050088 |
| 0.3693 | 25.5766 | 2839 | 0.3555 | 1115632 |
| 0.3353 | 27.0811 | 3006 | 0.3503 | 1181344 |
| 0.3507 | 28.5856 | 3173 | 0.3512 | 1246872 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1