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--- |
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license: mit |
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base_model: facebook/esm2_t30_150M_UR50D |
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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: esm2_t30_150M_UR50D-pfam-classification |
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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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# esm2_t30_150M_UR50D-pfam-classification |
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This model is a fine-tuned version of [facebook/esm2_t30_150M_UR50D](https://huggingface.co/facebook/esm2_t30_150M_UR50D) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2090 |
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- Accuracy: 0.7686 |
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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: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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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: 9 |
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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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| No log | 0.9966 | 222 | 3.0116 | 0.4560 | |
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| No log | 1.9978 | 445 | 2.3631 | 0.5747 | |
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| 2.9792 | 2.9989 | 668 | 1.9594 | 0.6399 | |
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| 2.9792 | 4.0 | 891 | 1.6825 | 0.6916 | |
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| 1.6634 | 4.9966 | 1113 | 1.4988 | 0.7316 | |
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| 1.6634 | 5.9978 | 1336 | 1.3650 | 0.7539 | |
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| 1.0252 | 6.9989 | 1559 | 1.2806 | 0.7627 | |
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| 1.0252 | 8.0 | 1782 | 1.2271 | 0.7699 | |
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| 1.0252 | 8.9697 | 1998 | 1.2090 | 0.7686 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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