| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: binding-c-command-lstm-3 |
| 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-3 |
|
|
| 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: 3.9746 |
|
|
| ## 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: 3 |
| - 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 | |
| |:-------------:|:-----:|:-------:|:---------------:| |
| | 4.8032 | 0.03 | 76320 | 4.7698 | |
| | 4.5152 | 1.03 | 152640 | 4.4864 | |
| | 4.3711 | 0.03 | 228960 | 4.3506 | |
| | 4.2892 | 1.03 | 305280 | 4.2674 | |
| | 4.222 | 0.03 | 381600 | 4.2102 | |
| | 4.1767 | 1.03 | 457920 | 4.1684 | |
| | 4.1404 | 0.03 | 534240 | 4.1373 | |
| | 4.1085 | 1.03 | 610560 | 4.1126 | |
| | 4.0784 | 0.03 | 686880 | 4.0927 | |
| | 4.052 | 1.03 | 763200 | 4.0761 | |
| | 4.0277 | 0.03 | 839520 | 4.0630 | |
| | 4.0102 | 1.03 | 915840 | 4.0519 | |
| | 3.9951 | 0.03 | 992160 | 4.0420 | |
| | 3.9752 | 1.03 | 1068480 | 4.0341 | |
| | 3.9617 | 0.03 | 1144800 | 4.0268 | |
| | 3.9572 | 1.03 | 1221120 | 4.0204 | |
| | 3.9423 | 0.03 | 1297440 | 4.0155 | |
| | 3.9321 | 1.03 | 1373760 | 4.0107 | |
| | 3.9208 | 0.03 | 1450080 | 4.0065 | |
| | 3.9209 | 1.03 | 1526400 | 4.0030 | |
| | 3.9142 | 0.03 | 1602720 | 3.9997 | |
| | 3.9104 | 1.03 | 1679040 | 3.9965 | |
| | 3.9085 | 0.03 | 1755360 | 3.9946 | |
| | 3.9023 | 1.03 | 1831680 | 3.9916 | |
| | 3.8941 | 0.03 | 1908000 | 3.9899 | |
| | 3.8856 | 1.03 | 1984320 | 3.9882 | |
| | 3.8781 | 0.03 | 2060640 | 3.9864 | |
| | 3.8763 | 1.03 | 2136960 | 3.9849 | |
| | 3.872 | 0.03 | 2213280 | 3.9832 | |
| | 3.8641 | 1.03 | 2289600 | 3.9818 | |
| | 3.8562 | 0.03 | 2365920 | 3.9809 | |
| | 3.8585 | 1.03 | 2442240 | 3.9800 | |
| | 3.8521 | 0.03 | 2518560 | 3.9788 | |
| | 3.8498 | 1.03 | 2594880 | 3.9778 | |
| | 3.8436 | 0.03 | 2671200 | 3.9773 | |
| | 3.8497 | 1.03 | 2747520 | 3.9765 | |
| | 3.8471 | 0.03 | 2823840 | 3.9759 | |
| | 3.8485 | 0.03 | 2900160 | 3.9753 | |
| | 3.8521 | 0.03 | 2976480 | 3.9750 | |
| | 3.8498 | 1.02 | 3052726 | 3.9746 | |
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| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.0.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
