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nlewins/mt5-small-finetuned-ceb-to-en-tfG

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: 5.1913
• Validation Loss: 3.3805
• Train Bleu: 0.7692
• Train Gen Len: 59.0253
• Epoch: 1

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': 'ExponentialDecay', 'config': {'initial_learning_rate': 0.0001, 'decay_steps': 10000, 'decay_rate': 0.6, 'staircase': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0001}
• training_precision: float32

Training results

Framework versions

• Transformers 4.34.0
• TensorFlow 2.14.0
• Datasets 2.14.5
• Tokenizers 0.14.1