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esm2_t6_8M_UR50D-localization-mc-finetuned-localization
raghvendramall/esm2_t6_8M_UR50D-localization-mc-finetuned-localization
esm2_t6_8M_UR50D-localization-mc-finetuned-localization is a text classification model from raghvendramall. 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 26, 2023
- Updated
- May 26, 2023
- SHA
- 3e0d5110
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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-localization-mc-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: 1.5055
- F1: 0.7776
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: 0.0001
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.9359 | 1.0 | 1411 | 0.8535 | 0.7208 |
| 0.7693 | 2.0 | 2822 | 0.7625 | 0.7293 |
| 0.619 | 3.0 | 4233 | 0.7689 | 0.7555 |
| 0.4961 | 4.0 | 5644 | 0.8251 | 0.7592 |
| 0.3477 | 5.0 | 7055 | 0.9720 | 0.7717 |
| 0.219 | 6.0 | 8466 | 1.0984 | 0.7800 |
| 0.1293 | 7.0 | 9877 | 1.2810 | 0.7781 |
| 0.068 | 8.0 | 11288 | 1.4495 | 0.7752 |
| 0.0318 | 9.0 | 12699 | 1.5142 | 0.7771 |
| 0.0178 | 10.0 | 14110 | 1.5055 | 0.7776 |
Framework versions
- Transformers 4.28.0
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- esm
- License
- mit
- Created
- May 26, 2023
- Updated
- May 26, 2023