| --- |
| 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_1756729608 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # train_cb_1756729608 |
|
|
| This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the cb dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3947 |
| - Num Input Tokens Seen: 316840 |
|
|
| ## 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: 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 | |
| |:-------------:|:------:|:----:|:---------------:|:-----------------:| |
| | 0.6373 | 0.5044 | 57 | 0.4306 | 17136 | |
| | 0.3965 | 1.0088 | 114 | 0.9618 | 32376 | |
| | 0.3048 | 1.5133 | 171 | 0.7284 | 48728 | |
| | 0.2021 | 2.0177 | 228 | 0.2919 | 64040 | |
| | 0.4291 | 2.5221 | 285 | 0.8386 | 79784 | |
| | 0.0067 | 3.0265 | 342 | 0.3568 | 96200 | |
| | 0.15 | 3.5310 | 399 | 0.3280 | 112440 | |
| | 0.1948 | 4.0354 | 456 | 0.2427 | 128712 | |
| | 0.1894 | 4.5398 | 513 | 0.4788 | 143944 | |
| | 0.2664 | 5.0442 | 570 | 0.3219 | 160016 | |
| | 0.0356 | 5.5487 | 627 | 0.4499 | 176688 | |
| | 0.0116 | 6.0531 | 684 | 0.2823 | 192272 | |
| | 0.0005 | 6.5575 | 741 | 0.4588 | 208944 | |
| | 0.0509 | 7.0619 | 798 | 0.3445 | 224288 | |
| | 0.0031 | 7.5664 | 855 | 0.4802 | 239840 | |
| | 0.0002 | 8.0708 | 912 | 0.4264 | 255984 | |
| | 0.0014 | 8.5752 | 969 | 0.3699 | 272064 | |
| | 0.0057 | 9.0796 | 1026 | 0.4110 | 287928 | |
| | 0.0004 | 9.5841 | 1083 | 0.3927 | 303800 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.2 |
| - Transformers 4.51.3 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
