whisper_4_with_init_sun__0025

bigmorning/whisper_4_with_init_sun__0025

whisper_4_with_init_sun__0025 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: Sep 5, 2023
Updated: Sep 5, 2023
SHA: de3449ca

Base models

openai/whisper-tiny

Model card

From the Hugging Face model README

whisper_4_with_init_sun__0025

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: 2.1254
Train Accuracy: 0.0207
Train Wermet: 0.4766
Validation Loss: 1.7354
Validation Accuracy: 0.0175
Validation Wermet: 0.5231
Epoch: 24

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
5.3333	0.0111	1.3132	3.9675	0.0114	0.9339	0
4.7131	0.0116	0.8607	3.9360	0.0114	0.9503	1
4.6717	0.0117	0.8449	3.9196	0.0113	0.9768	2
4.6474	0.0117	0.8338	3.9039	0.0114	0.9557	3
4.6273	0.0118	0.8243	3.8721	0.0115	0.9414	4
4.6101	0.0118	0.8167	3.8629	0.0116	0.9156	5
4.5912	0.0119	0.7985	3.8361	0.0116	0.8988	6
4.5645	0.0120	0.7753	3.8298	0.0116	0.9045	7
4.5386	0.0121	0.7558	3.7904	0.0118	0.8426	8
4.5075	0.0122	0.7405	3.7472	0.0119	0.8103	9
4.4586	0.0124	0.7255	3.7163	0.0120	0.8189	10
4.3978	0.0126	0.7174	3.6168	0.0122	0.8163	11
4.3031	0.0128	0.7107	3.4956	0.0125	0.7847	12
4.1606	0.0133	0.7025	3.3414	0.0128	0.7897	13
3.9636	0.0138	0.6991	3.1311	0.0133	0.7495	14
3.7290	0.0145	0.6827	2.8892	0.0139	0.7292	15
3.4993	0.0152	0.6643	2.7195	0.0143	0.7129	16
3.2810	0.0159	0.6448	2.5418	0.0148	0.6803	17
3.0604	0.0167	0.6182	2.3572	0.0153	0.6538	18
2.8748	0.0174	0.5946	2.2575	0.0156	0.6337	19
2.6889	0.0181	0.5699	2.0988	0.0162	0.6016	20
2.5493	0.0187	0.5449	1.9878	0.0166	0.5834	21
2.3921	0.0194	0.5207	1.9029	0.0168	0.5597	22
2.2491	0.0201	0.4987	1.8642	0.0169	0.5409	23
2.1254	0.0207	0.4766	1.7354	0.0175	0.5231	24

Framework versions

Transformers 4.34.0.dev0
TensorFlow 2.13.0
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Sep 5, 2023
Updated: Sep 5, 2023