whisper-tiny-hindi2_test

SamagraDataGov/whisper-tiny-hindi2_test

whisper-tiny-hindi2_test is a automatic speech recognition model from SamagraDataGov. 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: Jun 26, 2024
Updated: Jun 29, 2024
SHA: 85b7d6e8

Base models

openai/whisper-tiny

Model card

From the Hugging Face model README

whisper-tiny-hindi2_test

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

Loss: 0.1752
Wer: 27.1501

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: 3.75e-05
train_batch_size: 16
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 50
training_steps: 200
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2566	1.2698	40	0.1388	23.6931
0.0988	2.5397	80	0.1452	23.4401
0.0499	3.8095	120	0.1461	23.9460
0.0299	5.0794	160	0.1596	24.1990
0.0132	6.3492	200	0.1752	27.1501

Framework versions

Transformers 4.41.1
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: Jun 26, 2024
Updated: Jun 29, 2024