train_from_raw_cv12__0010

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: nan
• Train Accuracy: 0.0032
• Train Wermet: 8.3902
• Validation Loss: nan
• Validation Accuracy: 0.0032
• Validation Wermet: 8.3902
• Epoch: 9

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	Train Accuracy	Train Wermet	Validation Loss	Validation Accuracy	Validation Wermet	Epoch
nan	0.0032	8.3778	nan	0.0032	8.3902	0
nan	0.0032	8.3902	nan	0.0032	8.3902	1
nan	0.0032	8.3902	nan	0.0032	8.3902	2
nan	0.0032	8.3902	nan	0.0032	8.3902	3
nan	0.0032	8.3902	nan	0.0032	8.3902	4
nan	0.0032	8.3902	nan	0.0032	8.3902	5
nan	0.0032	8.3902	nan	0.0032	8.3902	6
nan	0.0032	8.3902	nan	0.0032	8.3902	7
nan	0.0032	8.3902	nan	0.0032	8.3902	8
nan	0.0032	8.3902	nan	0.0032	8.3902	9

Framework versions

• Transformers 4.33.0.dev0
• TensorFlow 2.13.0
• Tokenizers 0.13.3