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_cb_1757340168
results: []
train_cb_1757340168
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the cb dataset. It achieves the following results on the evaluation set:
- Loss: 1.5804
- Num Input Tokens Seen: 361992
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 |
|---|---|---|---|---|
| 0.2601 | 0.5088 | 29 | 0.2370 | 18048 |
| 0.3128 | 1.0175 | 58 | 0.4424 | 36928 |
| 1.7629 | 1.5263 | 87 | 0.5561 | 54176 |
| 0.3378 | 2.0351 | 116 | 0.2020 | 73136 |
| 0.3303 | 2.5439 | 145 | 0.1614 | 91216 |
| 0.0453 | 3.0526 | 174 | 0.2379 | 110696 |
| 0.116 | 3.5614 | 203 | 0.1001 | 129448 |
| 0.1798 | 4.0702 | 232 | 0.0368 | 147176 |
| 0.2801 | 4.5789 | 261 | 0.1194 | 164424 |
| 0.0358 | 5.0877 | 290 | 0.0774 | 183416 |
| 0.2572 | 5.5965 | 319 | 0.0889 | 203256 |
| 0.0011 | 6.1053 | 348 | 0.1109 | 220912 |
| 0.0696 | 6.6140 | 377 | 0.0931 | 240336 |
| 0.0251 | 7.1228 | 406 | 0.0881 | 257848 |
| 0.006 | 7.6316 | 435 | 0.0805 | 276824 |
| 0.0004 | 8.1404 | 464 | 0.1005 | 294504 |
| 0.0008 | 8.6491 | 493 | 0.0857 | 313576 |
| 0.0015 | 9.1579 | 522 | 0.0954 | 332256 |
| 0.0009 | 9.6667 | 551 | 0.0996 | 350336 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1