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Roberta_QCA_Custom

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generated_from_keras_callback
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Roberta_QCA_Custom / README.md
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metadata
license: cc-by-4.0
base_model: deepset/roberta-base-squad2
tags:
  - generated_from_keras_callback
model-index:
  - name: Kiran2004/Roberta_qca_sample
    results: []

Kiran2004/Roberta_qca_sample

This model is a fine-tuned version of deepset/roberta-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.9216
  • Validation Loss: 0.0300
  • 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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 100, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
0.9216 0.0300 0

Framework versions

  • Transformers 4.38.2
  • TensorFlow 2.15.0
  • Datasets 2.19.0
  • Tokenizers 0.15.2