whisper_new_split_ch_08__0005

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: 2.0288
• Train Accuracy: 0.0397
• Train Wermet: 6.0799
• Validation Loss: 1.9309
• Validation Accuracy: 0.0265
• Validation Wermet: 13.6220
• 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', 'learning_rate': 1e-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
2.9538	0.0228	5.6932	2.4237	0.0203	14.2654	0
2.4052	0.0321	6.0897	2.1989	0.0229	15.5551	1
2.2222	0.0358	6.1102	2.0871	0.0245	13.4374	2
2.1102	0.0380	6.0428	1.9986	0.0253	13.7934	3
2.0288	0.0397	6.0799	1.9309	0.0265	13.6220	4

Framework versions

• Transformers 4.31.0
• TensorFlow 2.13.0
• Tokenizers 0.13.3