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wav2vec2-large-xlsr-53-ur-cv13-with-lm – AI Model by Shehryar718 | AlphaNeural AI
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Shehryar718
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wav2vec2-large-xlsr-53-ur-cv13-with-lm
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
common_voice_13_0
Talha/URDU-ASR
finetune
apache-2.0
model-index
endpoints_compatible
us
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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
