whisper_0010

bigmorning/whisper_0010

whisper_0010 is a automatic speech recognition model from bigmorning. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

probably proofread and complete it, then remove this comment. --

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At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: whisper
Access: Public
Created: Nov 8, 2022
Updated: Nov 8, 2022
SHA: acdaf6bd

Model card

From the Hugging Face model README

whisper_0010

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: 0.6371
Train Accuracy: 0.0302
Validation Loss: 0.7409
Validation Accuracy: 0.0302
Epoch: 9

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	Validation Loss	Validation Accuracy	Epoch
5.0856	0.0116	4.4440	0.0123	0
4.3149	0.0131	4.0521	0.0142	1
3.9260	0.0146	3.7264	0.0153	2
3.5418	0.0160	3.3026	0.0174	3
2.7510	0.0198	2.0157	0.0241	4
1.6782	0.0250	1.3567	0.0273	5
1.1705	0.0274	1.0678	0.0286	6
0.9126	0.0287	0.9152	0.0294	7
0.7514	0.0296	0.8057	0.0299	8
0.6371	0.0302	0.7409	0.0302	9

Framework versions

Transformers 4.25.0.dev0
TensorFlow 2.9.2
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Nov 8, 2022
Updated: Nov 8, 2022