wav2vec2-telugu

krishnateja/wav2vec2-telugu

wav2vec2-telugu is a automatic speech recognition model from krishnateja. 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. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

1.5K

Public

Repo size

12.6 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.3 GB · 100%

At a glance

Task: Automatic Speech Recognition
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Nov 11, 2022
Updated: Nov 11, 2022
SHA: 0e6584ba

Datasets

openslr

Model card

From the Hugging Face model README

wav2vec2-telugu

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the openslr dataset. It achieves the following results on the evaluation set:

Loss: 0.2982
Wer: 0.2885

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: 0.0003
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: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.6905	3.84	400	0.7109	0.7800
0.4532	7.69	800	0.2972	0.3977
0.1957	11.54	1200	0.2907	0.3522
0.1284	15.38	1600	0.3117	0.3317
0.0979	19.23	2000	0.3000	0.3353
0.0749	23.08	2400	0.2823	0.3045
0.0584	26.92	2800	0.2982	0.2885

Framework versions

Transformers 4.24.0
Pytorch 1.13.0+cu117
Datasets 2.6.1
Tokenizers 0.13.2

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Nov 11, 2022
Updated: Nov 11, 2022