binding-c-command-lstm-2
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9703
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
4.7904 | 0.03 | 76320 | 4.7577 |
4.5063 | 1.03 | 152640 | 4.4774 |
4.3601 | 0.03 | 228960 | 4.3427 |
4.2774 | 1.03 | 305280 | 4.2602 |
4.2116 | 0.03 | 381600 | 4.2029 |
4.1665 | 1.03 | 457920 | 4.1612 |
4.1321 | 0.03 | 534240 | 4.1300 |
4.1002 | 1.03 | 610560 | 4.1050 |
4.0704 | 0.03 | 686880 | 4.0860 |
4.0439 | 1.03 | 763200 | 4.0705 |
4.0207 | 0.03 | 839520 | 4.0568 |
4.0047 | 0.03 | 915840 | 4.0452 |
3.9886 | 1.03 | 992160 | 4.0357 |
3.9684 | 0.03 | 1068480 | 4.0276 |
3.9554 | 1.03 | 1144800 | 4.0209 |
3.9508 | 0.03 | 1221120 | 4.0152 |
3.9356 | 1.03 | 1297440 | 4.0093 |
3.9269 | 0.03 | 1373760 | 4.0046 |
3.9144 | 1.03 | 1450080 | 4.0006 |
3.9144 | 0.03 | 1526400 | 3.9979 |
3.908 | 1.03 | 1602720 | 3.9949 |
3.9052 | 0.03 | 1679040 | 3.9918 |
3.9019 | 1.03 | 1755360 | 3.9885 |
3.898 | 0.03 | 1831680 | 3.9864 |
3.8884 | 1.03 | 1908000 | 3.9841 |
3.8813 | 0.03 | 1984320 | 3.9822 |
3.8727 | 1.03 | 2060640 | 3.9810 |
3.8707 | 0.03 | 2136960 | 3.9796 |
3.8652 | 1.03 | 2213280 | 3.9786 |
3.8564 | 0.03 | 2289600 | 3.9770 |
3.8508 | 1.03 | 2365920 | 3.9762 |
3.8531 | 0.03 | 2442240 | 3.9751 |
3.8475 | 1.03 | 2518560 | 3.9741 |
3.8449 | 0.03 | 2594880 | 3.9733 |
3.8368 | 1.03 | 2671200 | 3.9726 |
3.8435 | 0.03 | 2747520 | 3.9720 |
3.8411 | 1.03 | 2823840 | 3.9714 |
3.8422 | 0.03 | 2900160 | 3.9710 |
3.8453 | 1.03 | 2976480 | 3.9706 |
3.8448 | 0.02 | 3052726 | 3.9703 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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