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esm2_t33_650M_UR50D-finetuned-MHC

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metadata
license: mit
base_model: facebook/esm2_t33_650M_UR50D
tags:
  - generated_from_trainer
model-index:
  - name: esm2_t33_650M_UR50D-finetuned-MHC
    results: []

esm2_t33_650M_UR50D-finetuned-MHC

This model is a fine-tuned version of facebook/esm2_t33_650M_UR50D on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6230

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 101 2.6376
No log 2.0 202 2.6352
No log 3.0 303 2.6266

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.1
  • Tokenizers 0.13.3