esm2_t33_650M_UR50D_56706470

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: 0.5745
  • Accuracy: 0.8692

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 147 0.3648 0.8410
No log 2.0 294 0.3967 0.8436
No log 3.0 441 0.5136 0.8615
0.2299 4.0 588 0.5463 0.8615
0.2299 5.0 735 0.5745 0.8692

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1.post103
  • Datasets 3.1.0
  • Tokenizers 0.20.4
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