GNePT-NepSA / README.md
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metadata
license: mit
tags:
  - generated_from_keras_callback
model-index:
  - name: GNePT-NepSA
    results: []

GNePT-NepSA

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

  • Train Loss: 0.4830
  • Validation Loss: 0.6690
  • Epoch: 0

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-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.03}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
0.4830 0.6690 0

Framework versions

  • Transformers 4.28.1
  • TensorFlow 2.11.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3