arthur-neto/summarization_fine_tune_bbc_summary

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arthur-neto/summarizationfinetunebbcsummary

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• —Train Loss: 0.4118
• —Validation Loss: 0.3121
• —Train Lr: 2e-05
• —Epoch: 3

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', 'learningrate': np.float32(2e-05), 'decay': 0.0, 'beta1': np.float32(0.9), 'beta2': np.float32(0.999), 'epsilon': 1e-07, 'amsgrad': False, 'weightdecay_rate': 0.01}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.57.1
• —TensorFlow 2.19.0
• —Datasets 4.0.0
• —Tokenizers 0.22.1