wav2vec2-large-xlsr-53-ur-cv13

Shehryar718/wav2vec2-large-xlsr-53-ur-cv13

wav2vec2-large-xlsr-53-ur-cv13 is a automatic speech recognition model from Shehryar718. 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: Oct 31, 2023
Updated: Oct 31, 2023
SHA: bbc0d1dc

Base models

Talha/URDU-ASR

Datasets

common_voice_13_0

Model card

From the Hugging Face model README

wav2vec2-large-xlsr-53-ur-cv13

This model is a fine-tuned version of Talha/URDU-ASR on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.4323
Wer: 0.3988
Cer: 0.1932

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: 3e-05
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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.8043	1.46	250	0.5256	0.4023	0.1949
0.5435	2.92	500	0.4381	0.3965	0.1961
0.4827	4.39	750	0.4323	0.3988	0.1932

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

Task: Automatic Speech Recognition
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Oct 31, 2023
Updated: Oct 31, 2023