metadata

license: apache-2.0
base_model: openai/whisper-tiny
tags:
  - generated_from_keras_callback
model-index:
  - name: train_from_raw_cv12_true_suppress__0015
    results: []

train_from_raw_cv12_true_suppress__0015

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: 0.3311
Train Accuracy: 0.0999
Train Wermet: 3.3402
Validation Loss: 0.3658
Validation Accuracy: 0.0617
Validation Wermet: 8.6094
Epoch: 14

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
2.3569	0.0439	2.6429	1.7869	0.0339	10.1374	0
1.7502	0.0561	3.2762	1.6607	0.0360	9.6159	1
1.6268	0.0595	3.0493	1.5698	0.0374	8.6767	2
1.5533	0.0614	2.3917	1.4965	0.0387	7.2278	3
1.4953	0.0631	1.8208	1.4549	0.0397	4.4667	4
1.4388	0.0647	1.7488	1.3669	0.0411	6.2695	5
1.3532	0.0670	1.6950	1.2392	0.0438	7.1167	6
1.2122	0.0710	1.6785	1.0705	0.0471	4.7509	7
1.0193	0.0768	1.8537	0.9080	0.0502	5.7317	8
0.8466	0.0823	2.3126	0.7098	0.0543	5.7454	9
0.7039	0.0870	2.3440	0.5934	0.0567	6.9383	10
0.5754	0.0914	2.3564	0.5071	0.0586	6.6276	11
0.4749	0.0949	2.6925	0.4391	0.0601	6.8169	12
0.3910	0.0978	3.0462	0.3908	0.0612	8.1284	13
0.3311	0.0999	3.3402	0.3658	0.0617	8.6094	14

Framework versions

Transformers 4.33.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3