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Training in progress epoch 7
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metadata
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_keras_callback
model-index:
  - name: folflo/mt5-small-finetuned-HunSum-1_v0915
    results: []

folflo/mt5-small-finetuned-HunSum-1_v0915

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 2.9250
  • Validation Loss: 2.6671
  • Epoch: 7

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 63408, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: mixed_float16

Training results

Train Loss Validation Loss Epoch
4.6091 3.0932 0
3.4556 2.8793 1
3.1948 2.7755 2
3.0808 2.7294 3
3.0135 2.7080 4
2.9686 2.6869 5
2.9401 2.6695 6
2.9250 2.6671 7

Framework versions

  • Transformers 4.33.1
  • TensorFlow 2.13.0
  • Datasets 2.14.5
  • Tokenizers 0.13.3