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esm2_t6_8M_UR50D-finetuned-localization
rchikhi/esm2_t6_8M_UR50D-finetuned-localization
esm2_t6_8M_UR50D-finetuned-localization is a text classification model from rchikhi. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- esm
- Access
- Public
- Created
- Nov 11, 2022
- Updated
- Sep 29, 2023
- SHA
- 8dd8b2aa
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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_t6_8M_UR50D-finetuned-localization
This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1416
- Accuracy: 0.9699
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 |
|---|---|---|---|---|
| 0.1479 | 1.0 | 4122 | 0.1719 | 0.9586 |
| 0.1035 | 2.0 | 8244 | 0.1460 | 0.9660 |
| 0.0755 | 3.0 | 12366 | 0.1416 | 0.9699 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0+cu117
- Datasets 2.6.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- esm
- Created
- Nov 11, 2022
- Updated
- Sep 29, 2023