metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- llama-factory
- prompt-tuning
- generated_from_trainer
model-index:
- name: train_cb_1757340265
results: []
train_cb_1757340265
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: 0.1202
- Num Input Tokens Seen: 359824
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: 101112
- 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 |
|---|---|---|---|---|
| 0.7269 | 0.5088 | 29 | 0.7703 | 19872 |
| 0.2065 | 1.0175 | 58 | 0.1823 | 36432 |
| 0.1101 | 1.5263 | 87 | 0.1472 | 53680 |
| 0.1284 | 2.0351 | 116 | 0.1234 | 72160 |
| 0.0319 | 2.5439 | 145 | 0.1202 | 91904 |
| 0.4179 | 3.0526 | 174 | 0.1394 | 108856 |
| 0.21 | 3.5614 | 203 | 0.1364 | 128056 |
| 0.0244 | 4.0702 | 232 | 0.1916 | 146952 |
| 0.1028 | 4.5789 | 261 | 0.1853 | 165128 |
| 0.0302 | 5.0877 | 290 | 0.2104 | 183224 |
| 0.0024 | 5.5965 | 319 | 0.1862 | 202424 |
| 0.0953 | 6.1053 | 348 | 0.2177 | 220000 |
| 0.0689 | 6.6140 | 377 | 0.2197 | 238272 |
| 0.2106 | 7.1228 | 406 | 0.2411 | 255984 |
| 0.006 | 7.6316 | 435 | 0.2398 | 275536 |
| 0.0119 | 8.1404 | 464 | 0.2447 | 293296 |
| 0.0882 | 8.6491 | 493 | 0.2382 | 312304 |
| 0.0044 | 9.1579 | 522 | 0.2459 | 329216 |
| 0.0294 | 9.6667 | 551 | 0.2478 | 346944 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1