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esm2_t6_8M_UR50D-finetuned-Xmas-project

This model is a fine-tuned version of facebook/esm2_t6_8M_UR50D on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 56.7855
  • Validation Loss: 101.4410
  • Epoch: 9

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:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
494.7048 197.2008 0
149.9308 127.9843 1
110.7755 105.5121 2
94.8339 100.2063 3
83.1885 101.8379 4
75.9772 108.3454 5
69.3844 110.1212 6
64.3868 97.5026 7
60.4573 100.1366 8
56.7855 101.4410 9

Framework versions

  • Transformers 4.25.1
  • TensorFlow 2.9.2
  • Datasets 2.8.0
  • Tokenizers 0.13.2
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