metadata

license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_keras_callback
model-index:
  - name: whisper_new_split_ch_08__0005
    results: []

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: 4.1588
Train Accuracy: 0.0111
Train Wermet: 6.9059
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	Epoch
7.0502	0.0020	5.6150	0
5.6527	0.0046	11.3162	1
4.8654	0.0085	4.8190	2
4.4295	0.0107	5.4574	3
4.1588	0.0111	6.9059	4

Framework versions

Transformers 4.31.0
TensorFlow 2.13.0
Tokenizers 0.13.3