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_copa_1754651789
results: []
train_copa_1754651789
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: 0.2669
- 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 |
|---|---|---|---|---|
| 12.1391 | 0.5 | 45 | 11.9483 | 14016 |
| 8.1827 | 1.0 | 90 | 7.8277 | 28096 |
| 4.4968 | 1.5 | 135 | 4.2820 | 42144 |
| 2.6252 | 2.0 | 180 | 2.3994 | 56128 |
| 1.0636 | 2.5 | 225 | 0.9134 | 70272 |
| 0.42 | 3.0 | 270 | 0.4435 | 84352 |
| 0.3501 | 3.5 | 315 | 0.3621 | 98464 |
| 0.401 | 4.0 | 360 | 0.3243 | 112576 |
| 0.3488 | 4.5 | 405 | 0.3295 | 126624 |
| 0.3229 | 5.0 | 450 | 0.2785 | 140832 |
| 0.257 | 5.5 | 495 | 0.2820 | 154976 |
| 0.245 | 6.0 | 540 | 0.2875 | 169056 |
| 0.2576 | 6.5 | 585 | 0.2669 | 183200 |
| 0.2504 | 7.0 | 630 | 0.2740 | 197344 |
| 0.267 | 7.5 | 675 | 0.2765 | 211392 |
| 0.275 | 8.0 | 720 | 0.2757 | 225536 |
| 0.2552 | 8.5 | 765 | 0.2773 | 239680 |
| 0.2574 | 9.0 | 810 | 0.2751 | 253696 |
| 0.2546 | 9.5 | 855 | 0.2736 | 267840 |
| 0.2711 | 10.0 | 900 | 0.2693 | 281856 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1