whisper_charsplit_new_round2__0004

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: 0.0019
• Train Accuracy: 0.0795
• Train Wermet: 8.9450
• Validation Loss: 0.5623
• Validation Accuracy: 0.0766
• Validation Wermet: 7.7117
• 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', '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
0.0010	0.0795	8.7507	0.5575	0.0767	7.6778	0
0.0013	0.0795	8.9468	0.5652	0.0766	8.3360	1
0.0025	0.0795	8.7338	0.5673	0.0765	8.3770	2
0.0019	0.0795	8.9450	0.5623	0.0766	7.7117	3

Framework versions

• Transformers 4.32.0.dev0
• TensorFlow 2.12.0
• Tokenizers 0.13.3