metadata
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_123_1760637739
results: []
train_hellaswag_123_1760637739
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the hellaswag dataset. It achieves the following results on the evaluation set:
- Loss: 0.7937
- Num Input Tokens Seen: 194223872
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: 1e-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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| 0.458 | 2.0 | 15962 | 0.4626 | 19416032 |
| 0.4588 | 4.0 | 31924 | 0.4626 | 38836480 |
| 0.4638 | 6.0 | 47886 | 0.4632 | 58267680 |
| 0.4649 | 8.0 | 63848 | 0.4644 | 77691392 |
| 0.454 | 10.0 | 79810 | 0.4773 | 97109312 |
| 0.4571 | 12.0 | 95772 | 0.5238 | 116509824 |
| 0.313 | 14.0 | 111734 | 0.5585 | 135932928 |
| 0.3174 | 16.0 | 127696 | 0.6658 | 155372064 |
| 0.2419 | 18.0 | 143658 | 0.7505 | 174790976 |
| 0.2758 | 20.0 | 159620 | 0.7937 | 194223872 |
Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4