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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-transformer-4 |
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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-transformer-4 |
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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: 3.8582 |
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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: 4 |
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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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| 4.226 | 0.03 | 76320 | 4.1915 | |
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| 4.0213 | 1.03 | 152640 | 4.0234 | |
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| 3.9161 | 0.03 | 228960 | 3.9497 | |
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| 3.8489 | 1.03 | 305280 | 3.9084 | |
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| 3.7957 | 0.03 | 381600 | 3.8838 | |
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| 3.7572 | 1.03 | 457920 | 3.8675 | |
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| 3.7211 | 0.03 | 534240 | 3.8573 | |
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| 3.6912 | 1.03 | 610560 | 3.8499 | |
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| 3.6594 | 0.03 | 686880 | 3.8459 | |
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| 3.6379 | 0.03 | 763200 | 3.8440 | |
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| 3.6134 | 1.03 | 839520 | 3.8428 | |
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| 3.5959 | 0.03 | 915840 | 3.8417 | |
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| 3.5766 | 1.03 | 992160 | 3.8407 | |
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| 3.557 | 0.03 | 1068480 | 3.8415 | |
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| 3.5417 | 1.03 | 1144800 | 3.8420 | |
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| 3.5296 | 0.03 | 1221120 | 3.8431 | |
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| 3.5121 | 1.03 | 1297440 | 3.8434 | |
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| 3.4985 | 0.03 | 1373760 | 3.8460 | |
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| 3.4868 | 1.03 | 1450080 | 3.8457 | |
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| 3.4784 | 0.03 | 1526400 | 3.8484 | |
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| 3.4709 | 1.03 | 1602720 | 3.8486 | |
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| 3.463 | 0.03 | 1679040 | 3.8508 | |
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| 3.4519 | 1.03 | 1755360 | 3.8514 | |
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| 3.4409 | 0.03 | 1831680 | 3.8525 | |
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| 3.4273 | 1.03 | 1908000 | 3.8540 | |
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| 3.4158 | 0.03 | 1984320 | 3.8543 | |
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| 3.4037 | 1.03 | 2060640 | 3.8560 | |
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| 3.3967 | 0.03 | 2136960 | 3.8576 | |
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| 3.385 | 1.03 | 2213280 | 3.8575 | |
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| 3.3721 | 0.03 | 2289600 | 3.8587 | |
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| 3.3609 | 1.03 | 2365920 | 3.8594 | |
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| 3.3544 | 0.03 | 2442240 | 3.8593 | |
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| 3.3399 | 0.03 | 2518560 | 3.8608 | |
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| 3.3327 | 1.03 | 2594880 | 3.8604 | |
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| 3.324 | 0.03 | 2671200 | 3.8607 | |
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| 3.3185 | 1.03 | 2747520 | 3.8611 | |
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| 3.3142 | 0.03 | 2823840 | 3.8610 | |
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| 3.3078 | 0.03 | 2900160 | 3.8606 | |
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| 3.3017 | 1.03 | 2976480 | 3.8596 | |
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| 3.2938 | 0.02 | 3052726 | 3.8582 | |
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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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