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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: SingleBertModel-ProtBertfinetuned-smilesBindingDB |
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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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# SingleBertModel-ProtBertfinetuned-smilesBindingDB |
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This model is a fine-tuned version of [nepp1d0/SingleBertModel-ProtBertfinetuned-smilesBindingDB](https://huggingface.co/nepp1d0/SingleBertModel-ProtBertfinetuned-smilesBindingDB) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6792 |
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- Accuracy: 0.4893 |
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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: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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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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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| 1.3289 | 1.0 | 13806 | 1.1720 | 0.5107 | |
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| 1.2988 | 2.0 | 27612 | 1.3508 | 0.4893 | |
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| 1.334 | 3.0 | 41418 | 1.4480 | 0.4893 | |
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| 1.3082 | 4.0 | 55224 | 1.4471 | 0.4893 | |
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| 1.3746 | 5.0 | 69030 | 1.6792 | 0.4893 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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