URDU-ASR – AI Model by Shehryar718 | AlphaNeural AI

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Shehryar718/
URDU-ASR

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automatic-speech-recognition

generated_from_trainer

common_voice_13_0

endpoints_compatible

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URDU-ASR

This model was trained from scratch on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.6632
Wer: 0.4968
Cer: 0.2099

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.85,0.9) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
1.9625	1.0	341	0.7371	0.5348	0.2190
0.2156	2.0	683	0.7057	0.5103	0.2169
0.2451	3.0	1024	0.6654	0.5161	0.2214
0.199	4.0	1366	0.6707	0.5089	0.2153
0.1657	4.99	1705	0.6632	0.4968	0.2099

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1