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_cb_1757081466
results: []
train_cb_1757081466
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: 0.3225
- Num Input Tokens Seen: 310888
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|---|
| 0.5795 | 0.5044 | 57 | 0.3516 | 15456 |
| 0.2361 | 1.0088 | 114 | 1.4061 | 31408 |
| 0.1954 | 1.5133 | 171 | 0.5751 | 46128 |
| 0.4297 | 2.0177 | 228 | 0.4388 | 62512 |
| 0.2269 | 2.5221 | 285 | 0.2298 | 78272 |
| 0.545 | 3.0265 | 342 | 0.4335 | 94136 |
| 0.3603 | 3.5310 | 399 | 0.2376 | 109880 |
| 0.4205 | 4.0354 | 456 | 0.2483 | 125144 |
| 0.5197 | 4.5398 | 513 | 0.1896 | 139544 |
| 0.1052 | 5.0442 | 570 | 0.1859 | 156296 |
| 0.3257 | 5.5487 | 627 | 0.2001 | 172504 |
| 0.0065 | 6.0531 | 684 | 0.2582 | 187664 |
| 0.0299 | 6.5575 | 741 | 0.2114 | 204128 |
| 0.1574 | 7.0619 | 798 | 0.3154 | 219400 |
| 0.0121 | 7.5664 | 855 | 0.2926 | 235224 |
| 0.0126 | 8.0708 | 912 | 0.2721 | 250648 |
| 0.005 | 8.5752 | 969 | 0.2829 | 266456 |
| 0.003 | 9.0796 | 1026 | 0.3064 | 282256 |
| 0.1136 | 9.5841 | 1083 | 0.3222 | 297968 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1