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esm2_t12_35M_UR50D-finetuned-localization
Opalinav/esm2_t12_35M_UR50D-finetuned-localization
esm2_t12_35M_UR50D-finetuned-localization is a machine learning model from Opalinav. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- esm
- Access
- Public
- Created
- Aug 6, 2024
- Updated
- Aug 7, 2024
- SHA
- 8d5d12ce
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: 0.5426
- Accuracy: 0.7456
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 |
|---|---|---|---|---|
| 0.5708 | 1.0 | 625 | 0.5221 | 0.74 |
| 0.5012 | 2.0 | 1250 | 0.5482 | 0.7424 |
| 0.4874 | 3.0 | 1875 | 0.5426 | 0.7456 |
Framework versions
- Transformers 4.43.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- esm
- License
- mit
- Created
- Aug 6, 2024
- Updated
- Aug 7, 2024