whisper_small_en_to_myst_pf

rishabhjain16/whisper_small_en_to_myst_pf

whisper_small_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 15, 2023
Updated: Feb 16, 2023
SHA: e4b732ee

Model card

From the Hugging Face model README

openai/whisper-small.en

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

Loss: 0.3955
Wer: 11.3610

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
0.2871	0.12	500	0.3313	12.0452
0.2339	1.11	1000	0.3023	12.9337
0.2437	2.1	1500	0.3038	12.7260
0.0485	3.09	2000	0.3246	11.1822
0.0834	4.07	2500	0.3510	11.8941
0.1024	5.06	3000	0.3645	11.6309
0.0208	6.05	3500	0.4008	10.8457
0.0328	7.03	4000	0.3955	11.3610

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 16, 2023