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_789_1760637967
results: []
train_hellaswag_789_1760637967
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: 0.6736
- Num Input Tokens Seen: 194250048
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: 789
- 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 |
|---|---|---|---|---|
| 0.4669 | 2.0 | 15962 | 0.4627 | 19418112 |
| 0.4684 | 4.0 | 31924 | 0.4626 | 38834048 |
| 0.4565 | 6.0 | 47886 | 0.4626 | 58283392 |
| 0.4551 | 8.0 | 63848 | 0.4662 | 77712192 |
| 0.4711 | 10.0 | 79810 | 0.4703 | 97147040 |
| 0.4456 | 12.0 | 95772 | 0.4814 | 116563520 |
| 0.4311 | 14.0 | 111734 | 0.5079 | 135973856 |
| 0.4883 | 16.0 | 127696 | 0.5750 | 155391456 |
| 0.2303 | 18.0 | 143658 | 0.6490 | 174811520 |
| 0.2854 | 20.0 | 159620 | 0.6736 | 194250048 |
Framework versions
- PEFT 0.17.1
- Transformers 4.51.3
- Pytorch 2.9.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4