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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-case-transformer-1 |
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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-case-transformer-1 |
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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: 3.8678 |
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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: 1 |
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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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| 4.2219 | 0.03 | 76320 | 4.1938 | |
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| 4.0179 | 1.03 | 152640 | 4.0262 | |
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| 3.9092 | 0.03 | 228960 | 3.9526 | |
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| 3.8414 | 1.03 | 305280 | 3.9123 | |
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| 3.7919 | 0.03 | 381600 | 3.8867 | |
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| 3.7493 | 0.03 | 457920 | 3.8702 | |
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| 3.7175 | 1.03 | 534240 | 3.8604 | |
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| 3.6858 | 0.03 | 610560 | 3.8531 | |
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| 3.6577 | 1.03 | 686880 | 3.8489 | |
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| 3.6345 | 0.03 | 763200 | 3.8470 | |
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| 3.6116 | 1.03 | 839520 | 3.8456 | |
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| 3.5916 | 0.03 | 915840 | 3.8445 | |
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| 3.5708 | 1.03 | 992160 | 3.8453 | |
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| 3.5505 | 0.03 | 1068480 | 3.8457 | |
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| 3.5405 | 1.03 | 1144800 | 3.8465 | |
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| 3.5146 | 0.03 | 1221120 | 3.8490 | |
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| 3.5001 | 1.03 | 1297440 | 3.8498 | |
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| 3.4886 | 0.03 | 1373760 | 3.8505 | |
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| 3.4754 | 0.03 | 1450080 | 3.8507 | |
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| 3.468 | 1.03 | 1526400 | 3.8542 | |
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| 3.4602 | 0.03 | 1602720 | 3.8564 | |
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| 3.4504 | 1.03 | 1679040 | 3.8568 | |
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| 3.4461 | 0.03 | 1755360 | 3.8582 | |
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| 3.431 | 1.03 | 1831680 | 3.8594 | |
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| 3.42 | 0.03 | 1908000 | 3.8629 | |
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| 3.4085 | 0.03 | 1984320 | 3.8640 | |
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| 3.3963 | 1.03 | 2060640 | 3.8660 | |
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| 3.3869 | 0.03 | 2136960 | 3.8671 | |
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| 3.3743 | 1.03 | 2213280 | 3.8683 | |
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| 3.3643 | 0.03 | 2289600 | 3.8694 | |
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| 3.356 | 1.03 | 2365920 | 3.8698 | |
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| 3.3363 | 0.03 | 2442240 | 3.8715 | |
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| 3.3256 | 1.03 | 2518560 | 3.8716 | |
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| 3.3198 | 0.03 | 2594880 | 3.8724 | |
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| 3.311 | 1.03 | 2671200 | 3.8732 | |
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| 3.305 | 0.03 | 2747520 | 3.8721 | |
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| 3.3007 | 1.03 | 2823840 | 3.8715 | |
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| 3.2956 | 0.03 | 2900160 | 3.8708 | |
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| 3.294 | 1.03 | 2976480 | 3.8698 | |
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| 3.2848 | 0.02 | 3052726 | 3.8678 | |
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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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