wav2vec2-hindi-3

sriiikar/wav2vec2-hindi-3

wav2vec2-hindi-3 is a automatic speech recognition model from sriiikar. 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: wav2vec2
Access: Public
Created: May 29, 2022
Updated: May 29, 2022
SHA: aadba336

Model card

From the Hugging Face model README

wav2vec2-hindi-3

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.0900
Wer: 0.7281

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: 0.0001
train_batch_size: 16
eval_batch_size: 8
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: linear
lr_scheduler_warmup_steps: 500
num_epochs: 40
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.609	6.41	1000	1.2290	0.7497
0.3754	12.82	2000	1.5350	0.7128
0.1587	19.23	3000	1.8671	0.7322
0.103	25.64	4000	1.9383	0.7300
0.0761	32.05	5000	2.0767	0.7306
0.0616	38.46	6000	2.0900	0.7281

Framework versions

Transformers 4.20.0.dev0
Pytorch 1.11.0+cu113
Datasets 2.2.3.dev0
Tokenizers 0.12.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: May 29, 2022
Updated: May 29, 2022