facebook/blenderbot-400M-distill-finetuned
This model is a fine-tuned version of facebook/blenderbot-400M-distill on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.1755
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- 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 |
|---|---|---|---|
| 0.1876 | 1.0 | 838 | 0.1622 |
| 0.149 | 2.0 | 1676 | 0.1604 |
| 0.1226 | 3.0 | 2514 | 0.1657 |
| 0.1066 | 4.0 | 3352 | 0.1708 |
| 0.0944 | 5.0 | 4190 | 0.1755 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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