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esm2_t12_35M_UR50D-finetuned-localization
LAB-UGent/esm2_t12_35M_UR50D-finetuned-localization
esm2_t12_35M_UR50D-finetuned-localization is a text classification model from LAB-UGent. 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
- Mar 6, 2024
- Updated
- Mar 13, 2024
- SHA
- 7e695220
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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_t12_35M_UR50D-finetuned-localization
This model is a fine-tuned version of facebook/esm2_t12_35M_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0348
- Accuracy: 0.9916
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
- 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 |
|---|---|---|---|---|
| 0.0484 | 1.0 | 2889 | 0.0384 | 0.9912 |
| 0.0368 | 2.0 | 5778 | 0.0377 | 0.9909 |
| 0.026 | 3.0 | 8667 | 0.0348 | 0.9916 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- esm
- License
- mit
- Created
- Mar 6, 2024
- Updated
- Mar 13, 2024