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_1754652158
results: []
train_cb_1754652158
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: 1.5123
- Num Input Tokens Seen: 367864
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 |
|---|---|---|---|---|
| 0.7984 | 0.5088 | 29 | 0.7325 | 20064 |
| 1.5006 | 1.0175 | 58 | 0.5228 | 37832 |
| 0.3837 | 1.5263 | 87 | 0.5209 | 57288 |
| 0.2138 | 2.0351 | 116 | 0.2320 | 74520 |
| 0.342 | 2.5439 | 145 | 0.2490 | 93080 |
| 0.231 | 3.0526 | 174 | 0.1698 | 111928 |
| 0.3391 | 3.5614 | 203 | 0.2744 | 131160 |
| 0.2601 | 4.0702 | 232 | 0.1618 | 150056 |
| 0.1828 | 4.5789 | 261 | 0.2539 | 167208 |
| 0.3148 | 5.0877 | 290 | 0.2545 | 186160 |
| 0.1062 | 5.5965 | 319 | 0.2156 | 206000 |
| 0.0974 | 6.1053 | 348 | 0.2206 | 224064 |
| 0.1758 | 6.6140 | 377 | 0.1560 | 243840 |
| 0.0921 | 7.1228 | 406 | 0.1961 | 261504 |
| 0.2705 | 7.6316 | 435 | 0.2389 | 280352 |
| 0.0502 | 8.1404 | 464 | 0.1646 | 299344 |
| 0.1646 | 8.6491 | 493 | 0.2208 | 318672 |
| 0.1549 | 9.1579 | 522 | 0.1983 | 337480 |
| 0.072 | 9.6667 | 551 | 0.2247 | 356456 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1