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---
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
- llama-factory
- transformers
pipeline_tag: text-generation
model-index:
- name: train_hellaswag_101112_1760638081
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_101112_1760638081
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: 0.4621
- Num Input Tokens Seen: 218373904
## 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: 0.03
- 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: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
| 0.4667 | 1.0 | 8979 | 0.4630 | 10920768 |
| 0.4672 | 2.0 | 17958 | 0.4626 | 21838176 |
| 0.4673 | 3.0 | 26937 | 0.4628 | 32764400 |
| 0.4598 | 4.0 | 35916 | 0.4628 | 43678848 |
| 0.4671 | 5.0 | 44895 | 0.4627 | 54599824 |
| 0.459 | 6.0 | 53874 | 0.4623 | 65511392 |
| 0.4662 | 7.0 | 62853 | 0.4622 | 76440704 |
| 0.4625 | 8.0 | 71832 | 0.4625 | 87358976 |
| 0.4613 | 9.0 | 80811 | 0.4622 | 98270752 |
| 0.4642 | 10.0 | 89790 | 0.4622 | 109182912 |
| 0.461 | 11.0 | 98769 | 0.4622 | 120100304 |
| 0.4629 | 12.0 | 107748 | 0.4621 | 131010176 |
| 0.4626 | 13.0 | 116727 | 0.4624 | 141940544 |
| 0.4624 | 14.0 | 125706 | 0.4627 | 152867360 |
| 0.4643 | 15.0 | 134685 | 0.4625 | 163792736 |
| 0.4592 | 16.0 | 143664 | 0.4623 | 174711344 |
| 0.4627 | 17.0 | 152643 | 0.4625 | 185629312 |
| 0.4642 | 18.0 | 161622 | 0.4623 | 196536784 |
| 0.4626 | 19.0 | 170601 | 0.4623 | 207451408 |
| 0.4661 | 20.0 | 179580 | 0.4624 | 218373904 |
### Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4 |