End of training

README.md

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+---
+license: mit
+base_model: facebook/esm2_t6_8M_UR50D
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: esm2_t6_8M_UR50D-finetuned-epitope-june-12
+  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_t6_8M_UR50D-finetuned-epitope-june-12
+
+This model is a fine-tuned version of [facebook/esm2_t6_8M_UR50D](https://huggingface.co/facebook/esm2_t6_8M_UR50D) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5492
+- Accuracy: 0.8234
+
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 2
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.4862        | 0.9997 | 1525 | 0.5349          | 0.8208   |
+| 0.47          | 2.0    | 3051 | 0.5110          | 0.8239   |
+| 0.4023        | 2.9990 | 4575 | 0.5492          | 0.8234   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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