whisper_medium_en_to_myst_pf

rishabhjain16/whisper_medium_en_to_myst_pf

whisper_medium_en_to_myst_pf 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 14, 2023
Updated: Feb 15, 2023
SHA: 3e52e33a

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: 0.4522
Wer: 10.7946

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
0.2652	0.12	500	0.3042	11.2277
0.2102	1.11	1000	0.2824	10.9156
0.1913	2.1	1500	0.2924	11.2366
0.0249	3.09	2000	0.3386	10.6246
0.031	4.07	2500	0.3798	11.1400
0.0224	5.06	3000	0.4086	10.9767
0.0033	6.05	3500	0.4452	10.3392
0.0028	7.03	4000	0.4522	10.7946

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 14, 2023
Updated: Feb 15, 2023