song_artist_classifier
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4491
- F1: [0.8181818181818182, 0.7777777777777777, 0.7368421052631577, 0.5714285714285715, 0.2, 0.7058823529411764, 0.8000000000000002, 0.5833333333333334, 0.4615384615384615, 0.761904761904762, 0.7, 0.8181818181818182, 0.4, 0.64, 0.6666666666666666, 0.7272727272727272, 0.7826086956521738, 0.7272727272727272, 0.5263157894736842, 0.37499999999999994]
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 95 | 1.5590 | [0.7368421052631577, 0.7777777777777777, 0.7, 0.6666666666666665, 0.4615384615384615, 0.7, 0.761904761904762, 0.5454545454545454, 0.4285714285714285, 0.7200000000000001, 0.7058823529411764, 0.761904761904762, 0.0, 0.6666666666666666, 0.6428571428571429, 0.7272727272727272, 0.9, 0.761904761904762, 0.6666666666666667, 0.3529411764705882] |
| No log | 2.0 | 190 | 1.4491 | [0.8181818181818182, 0.7777777777777777, 0.7368421052631577, 0.5714285714285715, 0.2, 0.7058823529411764, 0.8000000000000002, 0.5833333333333334, 0.4615384615384615, 0.761904761904762, 0.7, 0.8181818181818182, 0.4, 0.64, 0.6666666666666666, 0.7272727272727272, 0.7826086956521738, 0.7272727272727272, 0.5263157894736842, 0.37499999999999994] |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2