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esm2_t33_650M_UR50D-crystallization-finetuned-localization
raghvendramall/esm2_t33_650M_UR50D-crystallization-finetuned-localization
esm2_t33_650M_UR50D-crystallization-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
- Jun 15, 2023
- Updated
- Jun 15, 2023
- SHA
- cd9499b1
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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_t33_650M_UR50D-crystallization-finetuned-localization
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: 1.3861
- F1: 0.6470
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|
| 0.422 | 1.0 | 2129 | 0.4366 | 0.6756 |
| 0.2425 | 2.0 | 4258 | 0.6942 | 0.6487 |
| 0.0993 | 3.0 | 6387 | 1.0293 | 0.6518 |
| 0.0535 | 4.0 | 8516 | 1.1326 | 0.6286 |
| 0.0422 | 5.0 | 10645 | 1.1957 | 0.6240 |
| 0.0268 | 6.0 | 12774 | 1.1728 | 0.6468 |
| 0.004 | 7.0 | 14903 | 1.3099 | 0.6563 |
| 0.0001 | 8.0 | 17032 | 1.3316 | 0.6489 |
| 0.0035 | 9.0 | 19161 | 1.3720 | 0.6484 |
| 0.0019 | 10.0 | 21290 | 1.3861 | 0.6470 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- esm
- License
- mit
- Created
- Jun 15, 2023
- Updated
- Jun 15, 2023