metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: train_cola_1757340236
results: []
train_cola_1757340236
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the cola dataset. It achieves the following results on the evaluation set:
- Loss: 0.1499
- Num Input Tokens Seen: 3663512
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: 789
- 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 |
|---|---|---|---|---|
| 0.3264 | 0.5 | 962 | 0.2922 | 182656 |
| 0.2569 | 1.0 | 1924 | 0.1577 | 365728 |
| 0.173 | 1.5 | 2886 | 0.2208 | 548992 |
| 0.1542 | 2.0 | 3848 | 0.1499 | 731984 |
| 0.0166 | 2.5 | 4810 | 0.2557 | 915792 |
| 0.2348 | 3.0 | 5772 | 0.2018 | 1098920 |
| 0.0149 | 3.5 | 6734 | 0.2522 | 1281640 |
| 0.004 | 4.0 | 7696 | 0.2412 | 1465464 |
| 0.0005 | 4.5 | 8658 | 0.2826 | 1649720 |
| 0.1161 | 5.0 | 9620 | 0.3346 | 1831920 |
| 0.0009 | 5.5 | 10582 | 0.2704 | 2014928 |
| 0.0008 | 6.0 | 11544 | 0.3713 | 2198176 |
| 0.1402 | 6.5 | 12506 | 0.3939 | 2381440 |
| 0.0002 | 7.0 | 13468 | 0.3080 | 2564952 |
| 0.0 | 7.5 | 14430 | 0.4320 | 2748568 |
| 0.0004 | 8.0 | 15392 | 0.4629 | 2931096 |
| 0.0 | 8.5 | 16354 | 0.4520 | 3113624 |
| 0.0 | 9.0 | 17316 | 0.4691 | 3296808 |
| 0.0 | 9.5 | 18278 | 0.4912 | 3480168 |
| 0.0071 | 10.0 | 19240 | 0.4918 | 3663512 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1