whisper_medium_en_to_myst_pf_ot50

rishabhjain16/whisper_medium_en_to_myst_pf_ot50

whisper_medium_en_to_myst_pf_ot50 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: May 10, 2023
Updated: May 15, 2023
SHA: e4836404

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: 0.4445
Wer: 10.5080

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
0.3016	0.12	500	0.3002	10.9478
0.3978	1.1	1000	0.2896	11.2599
0.1703	2.07	1500	0.3014	12.2218
0.0386	3.05	2000	0.3422	10.8046
0.0094	4.02	2500	0.3770	10.3559
0.017	4.14	3000	0.4025	10.7524
0.0064	5.12	3500	0.4214	10.5347
0.0117	6.09	4000	0.4445	10.5080

Framework versions

Transformers 4.29.0
Pytorch 1.14.0a0+44dac51
Datasets 2.12.0
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: May 10, 2023
Updated: May 15, 2023