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metadata
library_name: transformers
license: mit
base_model: facebook/esm2_t6_8M_UR50D
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: esm2_t6_8M_UR50D_56623521
    results: []

esm2_t6_8M_UR50D_56623521

This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3709
  • Accuracy: 0.8564

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 0.4648 0.8231
No log 2.0 294 0.3982 0.8308
No log 3.0 441 0.3749 0.8462
0.4612 4.0 588 0.3731 0.8487
0.4612 5.0 735 0.3709 0.8564

Framework versions

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