Urdu_Based_ASR_Model_FYP

Sania67/Urdu_Based_ASR_Model_FYP

Urdu_Based_ASR_Model_FYP is a automatic speech recognition model from Sania67. 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 20, 2023
Updated: May 21, 2023
SHA: 0569d16c

Model card

From the Hugging Face model README

Urdu_Based_ASR_Model_FYP

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

Loss: 0.0030
Wer: 93.0849

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 700
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.2479	2.27	100	1.0445	103.8776
0.3529	4.55	200	0.2966	70.4653
0.148	6.82	300	0.1006	54.3300
0.047	9.09	400	0.0274	52.7574
0.0101	11.36	500	0.0099	65.1659
0.0041	13.64	600	0.0039	84.2309
0.0033	15.91	700	0.0030	93.0849

Framework versions

Transformers 4.30.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Automatic Speech Recognition
Library: transformers
Type: whisper
License: apache-2.0
Created: May 20, 2023
Updated: May 21, 2023