metadata
license: llama3
base_model: meta-llama/Meta-Llama-3-8B
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: results
results: []
results
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5408
- F1: 0.7432
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.7866 | 0.0684 | 16 | 1.4251 | 0.4727 |
| 1.2951 | 0.1368 | 32 | 1.2220 | 0.4906 |
| 1.1455 | 0.2051 | 48 | 1.0200 | 0.5153 |
| 0.9479 | 0.2735 | 64 | 0.8454 | 0.5595 |
| 0.7627 | 0.3419 | 80 | 0.7389 | 0.6079 |
| 0.7078 | 0.4103 | 96 | 0.7002 | 0.6453 |
| 0.6751 | 0.4786 | 112 | 0.6589 | 0.6638 |
| 0.6441 | 0.5470 | 128 | 0.6116 | 0.6877 |
| 0.5576 | 0.6154 | 144 | 0.5869 | 0.7088 |
| 0.581 | 0.6838 | 160 | 0.5639 | 0.7300 |
| 0.5661 | 0.7521 | 176 | 0.5626 | 0.7287 |
| 0.5795 | 0.8205 | 192 | 0.5505 | 0.7399 |
| 0.5344 | 0.8889 | 208 | 0.5528 | 0.7326 |
| 0.5385 | 0.9573 | 224 | 0.5408 | 0.7432 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1