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Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: facebook/esm2_t12_35M_UR50D
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: esm2_t12_35M_UR50D-finetuned-localization
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# esm2_t12_35M_UR50D-finetuned-localization
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This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6460
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- Accuracy: 0.5988
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 192
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- eval_batch_size: 192
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.6832 | 1.0 | 1539 | 0.6716 | 0.5395 |
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| 0.6411 | 2.0 | 3078 | 0.6368 | 0.5798 |
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| 0.6178 | 3.0 | 4617 | 0.6281 | 0.5901 |
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| 0.5951 | 4.0 | 6156 | 0.6293 | 0.5947 |
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| 0.5682 | 5.0 | 7695 | 0.6460 | 0.5988 |
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| 0.5395 | 6.0 | 9234 | 0.6822 | 0.5930 |
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| 0.5107 | 7.0 | 10773 | 0.7306 | 0.5935 |
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| 0.484 | 8.0 | 12312 | 0.7839 | 0.5906 |
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| 0.4562 | 9.0 | 13851 | 0.8433 | 0.5917 |
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| 0.4302 | 10.0 | 15390 | 0.8882 | 0.5893 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.1+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 136000284
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version https://git-lfs.github.com/spec/v1
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size 136000284
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