| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: binding-c-command-lstm-2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # binding-c-command-lstm-2 |
|
|
| This model is a fine-tuned version of [](https://huggingface.co/) 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 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.0.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
