llama-music_fold_9
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: 2.4073
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 |
---|---|---|---|
2.0736 | 1.0 | 184 | 2.4509 |
1.9814 | 2.0 | 368 | 2.4946 |
2.3385 | 3.0 | 552 | 2.4073 |
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_9
Base model
meta-llama/Llama-3.2-3B-Instruct