| --- |
| 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_hellaswag_1754652170 |
| 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_hellaswag_1754652170 |
|
|
| 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 hellaswag dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.4635 |
| - Num Input Tokens Seen: 108930064 |
|
|
| ## 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 | |
| |:-------------:|:------:|:-----:|:---------------:|:-----------------:| |
| | 0.5018 | 0.5001 | 4490 | 0.5131 | 5450816 | |
| | 0.4862 | 1.0001 | 8980 | 0.4738 | 10899840 | |
| | 0.4703 | 1.5002 | 13470 | 0.4673 | 16338976 | |
| | 0.4736 | 2.0002 | 17960 | 0.4660 | 21789168 | |
| | 0.4783 | 2.5003 | 22450 | 0.4658 | 27236592 | |
| | 0.4663 | 3.0003 | 26940 | 0.4649 | 32696128 | |
| | 0.4541 | 3.5004 | 31430 | 0.4646 | 38137920 | |
| | 0.4581 | 4.0004 | 35920 | 0.4643 | 43579472 | |
| | 0.4528 | 4.5005 | 40410 | 0.4643 | 49022960 | |
| | 0.4502 | 5.0006 | 44900 | 0.4639 | 54468496 | |
| | 0.4639 | 5.5006 | 49390 | 0.4635 | 59917136 | |
| | 0.4624 | 6.0007 | 53880 | 0.4643 | 65358976 | |
| | 0.4692 | 6.5007 | 58370 | 0.4642 | 70806016 | |
| | 0.4549 | 7.0008 | 62860 | 0.4644 | 76259312 | |
| | 0.4698 | 7.5008 | 67350 | 0.4640 | 81705616 | |
| | 0.4546 | 8.0009 | 71840 | 0.4641 | 87153488 | |
| | 0.4462 | 8.5009 | 76330 | 0.4635 | 92602480 | |
| | 0.4564 | 9.0010 | 80820 | 0.4640 | 98051504 | |
| | 0.466 | 9.5011 | 85310 | 0.4641 | 103491728 | |
| |
| |
| ### Framework versions |
| |
| - PEFT 0.15.2 |
| - Transformers 4.51.3 |
| - Pytorch 2.8.0+cu128 |
| - Datasets 3.6.0 |
| - Tokenizers 0.21.1 |
