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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 |