binding-domain-lstm-0
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9735
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: 0
- 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 |
---|---|---|---|
4.7977 | 0.03 | 76320 | 4.7615 |
4.5122 | 1.03 | 152640 | 4.4804 |
4.3702 | 0.03 | 228960 | 4.3456 |
4.2828 | 1.03 | 305280 | 4.2622 |
4.2219 | 0.03 | 381600 | 4.2056 |
4.1741 | 1.03 | 457920 | 4.1638 |
4.1361 | 0.03 | 534240 | 4.1324 |
4.1019 | 1.03 | 610560 | 4.1074 |
4.0734 | 0.03 | 686880 | 4.0879 |
4.0511 | 1.03 | 763200 | 4.0719 |
4.0305 | 0.03 | 839520 | 4.0593 |
4.0145 | 1.03 | 915840 | 4.0479 |
3.9977 | 0.03 | 992160 | 4.0387 |
3.9796 | 1.03 | 1068480 | 4.0308 |
3.9665 | 0.03 | 1144800 | 4.0227 |
3.953 | 1.03 | 1221120 | 4.0167 |
3.9407 | 0.03 | 1297440 | 4.0120 |
3.9301 | 1.03 | 1373760 | 4.0081 |
3.9233 | 0.03 | 1450080 | 4.0040 |
3.919 | 1.03 | 1526400 | 4.0004 |
3.9145 | 0.03 | 1602720 | 3.9975 |
3.9119 | 1.03 | 1679040 | 3.9947 |
3.9048 | 0.03 | 1755360 | 3.9919 |
3.8974 | 1.03 | 1831680 | 3.9893 |
3.8909 | 0.03 | 1908000 | 3.9872 |
3.8852 | 1.03 | 1984320 | 3.9859 |
3.8798 | 0.03 | 2060640 | 3.9846 |
3.8767 | 1.03 | 2136960 | 3.9831 |
3.8729 | 0.03 | 2213280 | 3.9818 |
3.8653 | 1.03 | 2289600 | 3.9808 |
3.86 | 0.03 | 2365920 | 3.9796 |
3.8572 | 1.03 | 2442240 | 3.9786 |
3.8499 | 0.03 | 2518560 | 3.9776 |
3.8451 | 1.03 | 2594880 | 3.9767 |
3.8444 | 0.03 | 2671200 | 3.9761 |
3.8457 | 1.03 | 2747520 | 3.9753 |
3.8482 | 0.03 | 2823840 | 3.9746 |
3.848 | 1.03 | 2900160 | 3.9742 |
3.8472 | 0.03 | 2976480 | 3.9737 |
3.8448 | 1.02 | 3052726 | 3.9735 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
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