Model save
Browse files- README.md +65 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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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_56623563
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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_56623563
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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: 0.5887
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- Accuracy: 0.8103
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 5
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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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| No log | 1.0 | 147 | 0.4424 | 0.8179 |
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| No log | 2.0 | 294 | 0.4869 | 0.8 |
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| No log | 3.0 | 441 | 0.5111 | 0.8179 |
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| 0.36 | 4.0 | 588 | 0.5578 | 0.8103 |
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| 0.36 | 5.0 | 735 | 0.5887 | 0.8103 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1.post103
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- Datasets 3.1.0
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- Tokenizers 0.20.4
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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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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