whisper_tiny_to_myst_cmu_pf

rishabhjain16/whisper_tiny_to_myst_cmu_pf

whisper_tiny_to_myst_cmu_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: May 16, 2023
Updated: May 17, 2023
SHA: 01a1e341

Model card

From the Hugging Face model README

openai/whisper-tiny.en

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

Loss: 0.3883
Wer: 14.9814

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: 128
eval_batch_size: 128
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
0.4727	2.04	500	0.4062	16.9369
0.2717	5.04	1000	0.3271	15.3713
0.2022	8.04	1500	0.3251	15.2362
0.1483	11.03	2000	0.3438	14.1539
0.0833	14.03	2500	0.3583	15.5601
0.0848	17.03	3000	0.3755	14.8514
0.0475	20.02	3500	0.3849	15.0281
0.0424	23.02	4000	0.3883	14.9814

Framework versions

Transformers 4.29.1
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 16, 2023
Updated: May 17, 2023