whisper_medium_en_to_myst_cmu

rishabhjain16/whisper_medium_en_to_myst_cmu

whisper_medium_en_to_myst_cmu is a automatic speech recognition model from rishabhjain16. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.

should 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: Feb 15, 2023
Updated: Feb 15, 2023
SHA: 76af06d6

Model card

From the Hugging Face model README

openai/whisper-medium.en

This model is a fine-tuned version of openai/whisper-medium.en on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3763
Wer: 11.2832

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:

learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2381	0.12	500	0.2625	11.4877
0.1332	1.1	1000	0.2451	11.4078
0.1097	2.08	1500	0.2610	11.5359
0.0412	3.06	2000	0.2804	10.9598
0.0219	4.04	2500	0.3426	10.9669
0.0139	5.02	3000	0.3503	11.3325
0.0086	6.0	3500	0.3761	11.0222
0.0017	6.13	4000	0.3763	11.2832

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.9.1.dev0
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Feb 15, 2023
Updated: Feb 15, 2023