| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: binding-case-transformer-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-case-transformer-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: 3.8665 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| 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 | |
| |:-------------:|:-----:|:-------:|:---------------:| |
| | 4.2236 | 0.03 | 76320 | 4.1964 | |
| | 4.0182 | 1.03 | 152640 | 4.0272 | |
| | 3.91 | 0.03 | 228960 | 3.9534 | |
| | 3.8414 | 1.03 | 305280 | 3.9119 | |
| | 3.7918 | 0.03 | 381600 | 3.8873 | |
| | 3.7502 | 0.03 | 457920 | 3.8712 | |
| | 3.7204 | 1.03 | 534240 | 3.8612 | |
| | 3.6869 | 0.03 | 610560 | 3.8549 | |
| | 3.6592 | 1.03 | 686880 | 3.8507 | |
| | 3.635 | 0.03 | 763200 | 3.8488 | |
| | 3.6105 | 1.03 | 839520 | 3.8465 | |
| | 3.5921 | 0.03 | 915840 | 3.8457 | |
| | 3.571 | 1.03 | 992160 | 3.8463 | |
| | 3.5534 | 0.03 | 1068480 | 3.8462 | |
| | 3.5396 | 1.03 | 1144800 | 3.8481 | |
| | 3.5192 | 0.03 | 1221120 | 3.8492 | |
| | 3.5044 | 1.03 | 1297440 | 3.8499 | |
| | 3.4927 | 0.03 | 1373760 | 3.8517 | |
| | 3.4786 | 1.03 | 1450080 | 3.8538 | |
| | 3.4707 | 0.03 | 1526400 | 3.8534 | |
| | 3.4625 | 1.03 | 1602720 | 3.8559 | |
| | 3.4549 | 0.03 | 1679040 | 3.8577 | |
| | 3.4471 | 1.03 | 1755360 | 3.8590 | |
| | 3.4355 | 0.03 | 1831680 | 3.8603 | |
| | 3.4219 | 1.03 | 1908000 | 3.8616 | |
| | 3.4109 | 0.03 | 1984320 | 3.8622 | |
| | 3.4003 | 1.03 | 2060640 | 3.8631 | |
| | 3.3907 | 0.03 | 2136960 | 3.8647 | |
| | 3.376 | 0.03 | 2213280 | 3.8675 | |
| | 3.3656 | 1.03 | 2289600 | 3.8681 | |
| | 3.3573 | 0.03 | 2365920 | 3.8685 | |
| | 3.341 | 1.03 | 2442240 | 3.8701 | |
| | 3.33 | 0.03 | 2518560 | 3.8698 | |
| | 3.3222 | 1.03 | 2594880 | 3.8702 | |
| | 3.3137 | 0.03 | 2671200 | 3.8703 | |
| | 3.3096 | 1.03 | 2747520 | 3.8693 | |
| | 3.3045 | 0.03 | 2823840 | 3.8692 | |
| | 3.2982 | 0.03 | 2900160 | 3.8688 | |
| | 3.2947 | 1.03 | 2976480 | 3.8677 | |
| | 3.2868 | 0.02 | 3052726 | 3.8665 | |
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| ### Framework versions |
|
|
| - Transformers 4.33.3 |
| - Pytorch 2.0.1 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
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|
