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pfam_10k_seq

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: facebook/esm2_t33_650M_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_t33_650M_UR50D-10k-uniprot-classification
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+ results: []
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+ ---
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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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+
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+ # esm2_t33_650M_UR50D-10k-uniprot-classification
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+
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+ This model is a fine-tuned version of [facebook/esm2_t33_650M_UR50D](https://huggingface.co/facebook/esm2_t33_650M_UR50D) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7889
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+ - Accuracy: 0.8340
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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+ - total_train_batch_size: 128
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | No log | 0.9948 | 60 | 2.4675 | 0.4405 |
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+ | No log | 1.9896 | 120 | 1.7231 | 0.6466 |
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+ | No log | 2.9845 | 180 | 1.3287 | 0.7403 |
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+ | No log | 3.9959 | 241 | 1.0992 | 0.7842 |
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+ | No log | 4.9907 | 301 | 0.9519 | 0.8169 |
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+ | No log | 5.9855 | 361 | 0.8688 | 0.8200 |
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+ | No log | 6.9969 | 422 | 0.8178 | 0.8309 |
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+ | No log | 7.9917 | 482 | 0.7947 | 0.8332 |
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+ | 1.1149 | 8.9534 | 540 | 0.7889 | 0.8340 |
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+
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+
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+ ### Framework versions
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+
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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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