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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: binding-domain-lstm-0 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# binding-domain-lstm-0 |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.9735 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 0 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 3052726 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.7977 | 0.03 | 76320 | 4.7615 | |
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| 4.5122 | 1.03 | 152640 | 4.4804 | |
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| 4.3702 | 0.03 | 228960 | 4.3456 | |
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| 4.2828 | 1.03 | 305280 | 4.2622 | |
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| 4.2219 | 0.03 | 381600 | 4.2056 | |
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| 4.1741 | 1.03 | 457920 | 4.1638 | |
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| 4.1361 | 0.03 | 534240 | 4.1324 | |
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| 4.1019 | 1.03 | 610560 | 4.1074 | |
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| 4.0734 | 0.03 | 686880 | 4.0879 | |
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| 4.0511 | 1.03 | 763200 | 4.0719 | |
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| 4.0305 | 0.03 | 839520 | 4.0593 | |
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| 4.0145 | 1.03 | 915840 | 4.0479 | |
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| 3.9977 | 0.03 | 992160 | 4.0387 | |
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| 3.9796 | 1.03 | 1068480 | 4.0308 | |
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| 3.9665 | 0.03 | 1144800 | 4.0227 | |
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| 3.953 | 1.03 | 1221120 | 4.0167 | |
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| 3.9407 | 0.03 | 1297440 | 4.0120 | |
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| 3.9301 | 1.03 | 1373760 | 4.0081 | |
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| 3.9233 | 0.03 | 1450080 | 4.0040 | |
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| 3.919 | 1.03 | 1526400 | 4.0004 | |
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| 3.9145 | 0.03 | 1602720 | 3.9975 | |
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| 3.9119 | 1.03 | 1679040 | 3.9947 | |
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| 3.9048 | 0.03 | 1755360 | 3.9919 | |
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| 3.8974 | 1.03 | 1831680 | 3.9893 | |
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| 3.8909 | 0.03 | 1908000 | 3.9872 | |
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| 3.8852 | 1.03 | 1984320 | 3.9859 | |
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| 3.8798 | 0.03 | 2060640 | 3.9846 | |
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| 3.8767 | 1.03 | 2136960 | 3.9831 | |
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| 3.8729 | 0.03 | 2213280 | 3.9818 | |
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| 3.8653 | 1.03 | 2289600 | 3.9808 | |
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| 3.86 | 0.03 | 2365920 | 3.9796 | |
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| 3.8572 | 1.03 | 2442240 | 3.9786 | |
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| 3.8499 | 0.03 | 2518560 | 3.9776 | |
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| 3.8451 | 1.03 | 2594880 | 3.9767 | |
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| 3.8444 | 0.03 | 2671200 | 3.9761 | |
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| 3.8457 | 1.03 | 2747520 | 3.9753 | |
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| 3.8482 | 0.03 | 2823840 | 3.9746 | |
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| 3.848 | 1.03 | 2900160 | 3.9742 | |
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| 3.8472 | 0.03 | 2976480 | 3.9737 | |
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| 3.8448 | 1.02 | 3052726 | 3.9735 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- Pytorch 2.0.1 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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