model
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: 2.9184
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 3000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.1421 | 0.5330 | 500 | 2.8658 |
| 2.8251 | 1.0661 | 1000 | 2.8294 |
| 2.6508 | 1.5991 | 1500 | 2.8203 |
| 2.5872 | 2.1322 | 2000 | 2.8783 |
| 2.4264 | 2.6652 | 2500 | 2.8816 |
| 2.3586 | 3.1983 | 3000 | 2.9184 |
Framework versions
- PEFT 0.13.1
- Transformers 4.44.2
- Pytorch 2.4.1+cu118
- Datasets 3.0.1
- Tokenizers 0.19.1
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Base model
meta-llama/Llama-3.2-3B-Instruct