llama-music_fold_7
This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2071
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: 1
- eval_batch_size: 1
- 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 |
|---|---|---|---|
| 1.9457 | 1.0 | 184 | 3.3194 |
| 2.0437 | 2.0 | 368 | 3.2071 |
| 2.4208 | 3.0 | 552 | 3.2071 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.3.1
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for g-assismoraes/llama-music_fold_7
Base model
meta-llama/Llama-3.2-3B-Instruct