llama-pretrained
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.9702
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8777 | 1.0 | 1300 | 4.9702 |
| 0.263 | 2.0 | 2600 | 5.3979 |
| 0.1887 | 3.0 | 3900 | 5.5320 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.19.1
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Base model
meta-llama/Llama-3.2-1B