results
This model is a fine-tuned version of meta-llama/Llama-3.2-3b-instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7028
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7756 | 0.9982 | 94 | 1.7306 |
| 1.62 | 1.9965 | 188 | 1.7028 |
| 1.5795 | 2.9947 | 282 | 1.7088 |
| 1.4914 | 3.9929 | 376 | 1.7279 |
| 1.4776 | 4.9912 | 470 | 1.7412 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
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