metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- lntuning
- generated_from_trainer
model-index:
- name: train_copa_1757340182
results: []
train_copa_1757340182
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: 0.0386
- Num Input Tokens Seen: 282368
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: 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: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.0771 | 0.5 | 45 | 0.1575 | 14176 |
| 0.0904 | 1.0 | 90 | 0.1057 | 28256 |
| 0.1193 | 1.5 | 135 | 0.0855 | 42240 |
| 0.0732 | 2.0 | 180 | 0.0704 | 56480 |
| 0.1398 | 2.5 | 225 | 0.0614 | 70688 |
| 0.1844 | 3.0 | 270 | 0.0523 | 84736 |
| 0.01 | 3.5 | 315 | 0.0443 | 98784 |
| 0.116 | 4.0 | 360 | 0.0458 | 113024 |
| 0.0033 | 4.5 | 405 | 0.0412 | 127264 |
| 0.1303 | 5.0 | 450 | 0.0445 | 141440 |
| 0.0177 | 5.5 | 495 | 0.0422 | 155488 |
| 0.0035 | 6.0 | 540 | 0.0397 | 169600 |
| 0.0757 | 6.5 | 585 | 0.0419 | 183648 |
| 0.0091 | 7.0 | 630 | 0.0386 | 197792 |
| 0.0243 | 7.5 | 675 | 0.0430 | 211936 |
| 0.0013 | 8.0 | 720 | 0.0413 | 225984 |
| 0.0185 | 8.5 | 765 | 0.0391 | 239936 |
| 0.1051 | 9.0 | 810 | 0.0393 | 254112 |
| 0.0014 | 9.5 | 855 | 0.0405 | 268256 |
| 0.0008 | 10.0 | 900 | 0.0395 | 282368 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1