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Upload TFMBartForConditionalGeneration
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metadata
license: mit
base_model: facebook/mbart-large-50
tags:
  - generated_from_keras_callback
model-index:
  - name: mbart-finetuned-english
    results: []

mbart-finetuned-english

This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 1.8952
  • Validation Loss: 2.5508
  • Epoch: 2

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': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
3.1200 2.6330 0
2.3248 2.5241 1
1.8952 2.5508 2

Framework versions

  • Transformers 4.35.2
  • TensorFlow 2.15.0
  • Datasets 2.15.0
  • Tokenizers 0.15.0