whisper_charsplit_new_round2__0012

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: 0.0003
• Train Accuracy: 0.0795
• Train Wermet: 9.3340
• Validation Loss: 0.5584
• Validation Accuracy: 0.0768
• Validation Wermet: 8.1322
• Epoch: 11

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
0.0011	0.0795	8.9053	0.5609	0.0767	7.5155	4
0.0012	0.0795	8.8862	0.5667	0.0767	8.2913	5
0.0009	0.0795	8.7510	0.5642	0.0766	7.9083	6
0.0037	0.0795	9.3428	0.5717	0.0764	8.2631	7
0.0031	0.0795	9.2135	0.5636	0.0766	8.2384	8
0.0011	0.0795	8.9730	0.5605	0.0767	8.3958	9
0.0005	0.0795	9.3749	0.5552	0.0768	8.0800	10
0.0003	0.0795	9.3340	0.5584	0.0768	8.1322	11

Framework versions

• Transformers 4.32.0.dev0
• TensorFlow 2.12.0
• Tokenizers 0.13.3