metadata
library_name: peft
license: llama3
base_model: meta-llama/Meta-Llama-3-8B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Output_llama3_80-20_New
results: []
Output_llama3_80-20_New
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6519
- Balanced Accuracy: 0.6770
- Accuracy: 0.7188
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|---|---|---|---|---|---|
| No log | 1.0 | 96 | 0.6701 | 0.5509 | 0.5 |
| No log | 2.0 | 192 | 0.5817 | 0.7730 | 0.7865 |
| No log | 3.0 | 288 | 0.5816 | 0.6611 | 0.6719 |
| No log | 4.0 | 384 | 0.5791 | 0.6917 | 0.7344 |
| No log | 5.0 | 480 | 0.6088 | 0.7279 | 0.7604 |
| 0.6212 | 6.0 | 576 | 0.5876 | 0.6647 | 0.6771 |
| 0.6212 | 7.0 | 672 | 0.6213 | 0.6351 | 0.5938 |
| 0.6212 | 8.0 | 768 | 0.5972 | 0.6976 | 0.7396 |
| 0.6212 | 9.0 | 864 | 0.6078 | 0.6858 | 0.7292 |
| 0.6212 | 10.0 | 960 | 0.6185 | 0.6552 | 0.6771 |
| 0.5248 | 11.0 | 1056 | 0.6358 | 0.6526 | 0.6875 |
| 0.5248 | 12.0 | 1152 | 0.6519 | 0.6770 | 0.7188 |
Framework versions
- PEFT 0.10.0
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.3