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jazz_clm-model
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5660
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 365 | 0.6431 |
0.6104 | 2.0 | 730 | 0.6238 |
0.5859 | 3.0 | 1095 | 0.6103 |
0.5859 | 4.0 | 1460 | 0.6046 |
0.5724 | 5.0 | 1825 | 0.5941 |
0.5574 | 6.0 | 2190 | 0.5930 |
0.5478 | 7.0 | 2555 | 0.5841 |
0.5478 | 8.0 | 2920 | 0.5821 |
0.5395 | 9.0 | 3285 | 0.5810 |
0.527 | 10.0 | 3650 | 0.5755 |
0.5237 | 11.0 | 4015 | 0.5728 |
0.5237 | 12.0 | 4380 | 0.5691 |
0.5147 | 13.0 | 4745 | 0.5733 |
0.5141 | 14.0 | 5110 | 0.5680 |
0.5141 | 15.0 | 5475 | 0.5657 |
0.5076 | 16.0 | 5840 | 0.5719 |
0.5004 | 17.0 | 6205 | 0.5691 |
0.4985 | 18.0 | 6570 | 0.5687 |
0.4985 | 19.0 | 6935 | 0.5679 |
0.4926 | 20.0 | 7300 | 0.5689 |
0.4914 | 21.0 | 7665 | 0.5667 |
0.4885 | 22.0 | 8030 | 0.5631 |
0.4885 | 23.0 | 8395 | 0.5666 |
0.4862 | 24.0 | 8760 | 0.5668 |
0.4825 | 25.0 | 9125 | 0.5643 |
0.4825 | 26.0 | 9490 | 0.5652 |
0.4828 | 27.0 | 9855 | 0.5667 |
0.48 | 28.0 | 10220 | 0.5657 |
0.4775 | 29.0 | 10585 | 0.5654 |
0.4775 | 30.0 | 10950 | 0.5660 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0
- Datasets 2.14.5
- Tokenizers 0.14.1