bigmorning/whisper_attention_0005

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whisperattention0005

This model is a fine-tuned version of openai/whisper-tiny on an unknown dataset. It achieves the following results on the evaluation set:

• —Train Loss: 4.6317
• —Train Accuracy: 0.0118
• —Train Wermet: 1.2794
• —Validation Loss: 3.8796
• —Validation Accuracy: 0.0114
• —Validation Wermet: 1.8964
• —Epoch: 4

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

Training results

Framework versions

• —Transformers 4.33.0.dev0
• —TensorFlow 2.13.0
• —Tokenizers 0.13.3