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esm2_t33_650M_UR50D-pfam-classification
keanhean/esm2_t33_650M_UR50D-pfam-classification
esm2_t33_650M_UR50D-pfam-classification is a text classification model from keanhean. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- esm
- Access
- Public
- Created
- May 7, 2024
- Updated
- May 8, 2024
- SHA
- d287d5ac
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
esm2_t33_650M_UR50D-pfam-classification
This model is a fine-tuned version of facebook/esm2_t33_650M_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0743
- Accuracy: 0.9882
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.9930 | 71 | 0.2934 | 0.9450 |
| No log | 2.0 | 143 | 0.0912 | 0.9856 |
| No log | 2.9790 | 213 | 0.0743 | 0.9882 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- esm
- License
- mit
- Created
- May 7, 2024
- Updated
- May 8, 2024