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_1757340166
results: []
train_cb_1757340166
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: 0.3968
- Num Input Tokens Seen: 621640
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.187 | 1.0 | 113 | 0.5789 | 31088 |
| 0.4145 | 2.0 | 226 | 0.2959 | 61872 |
| 0.1423 | 3.0 | 339 | 0.2717 | 93016 |
| 0.3879 | 4.0 | 452 | 0.2208 | 124056 |
| 0.3181 | 5.0 | 565 | 0.1915 | 155240 |
| 0.3964 | 6.0 | 678 | 0.2505 | 185984 |
| 0.0106 | 7.0 | 791 | 0.3052 | 217192 |
| 0.1278 | 8.0 | 904 | 0.2324 | 248456 |
| 0.1891 | 9.0 | 1017 | 0.6020 | 279744 |
| 0.0002 | 10.0 | 1130 | 0.3493 | 310888 |
| 0.0001 | 11.0 | 1243 | 0.3753 | 341832 |
| 0.0001 | 12.0 | 1356 | 0.3776 | 372952 |
| 0.0001 | 13.0 | 1469 | 0.3861 | 403768 |
| 0.0 | 14.0 | 1582 | 0.3914 | 434704 |
| 0.0 | 15.0 | 1695 | 0.3901 | 466016 |
| 0.0001 | 16.0 | 1808 | 0.3942 | 497200 |
| 0.0 | 17.0 | 1921 | 0.3934 | 528320 |
| 0.0 | 18.0 | 2034 | 0.3991 | 559408 |
| 0.0 | 19.0 | 2147 | 0.3979 | 590544 |
| 0.0 | 20.0 | 2260 | 0.3968 | 621640 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.21.1