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End of training
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metadata
license: apache-2.0
tags:
  - generated_from_keras_callback
model-index:
  - name: Hardik1313X/mt5-small-finetuned-amazon-en-es
    results: []

Hardik1313X/mt5-small-finetuned-amazon-en-es

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: 4.0749
  • Validation Loss: 3.3854
  • 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 9672, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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
10.0060 4.3897 0
5.9039 3.8382 1
5.1623 3.6476 2
4.7477 3.5488 3
4.4688 3.4721 4
4.2706 3.4173 5
4.1381 3.3921 6
4.0749 3.3854 7

Framework versions

  • Transformers 4.20.1
  • TensorFlow 2.8.2
  • Datasets 2.3.2
  • Tokenizers 0.12.1