Model save

README.md

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+---
+license: mit
+base_model: facebook/esm2_t12_35M_UR50D
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: esm2_t12_35M_UR50D-finetuned-localization
+  results: []
+---
+
+<!-- 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](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0348
+- Accuracy: 0.9916
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0484        | 1.0   | 2889 | 0.0384          | 0.9912   |
+| 0.0368        | 2.0   | 5778 | 0.0377          | 0.9909   |
+| 0.026         | 3.0   | 8667 | 0.0348          | 0.9916   |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2