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Sania67/
XLSR_Fine_Tuned_URDU

Name: XLSR_Fine_Tuned_URDU
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice_8_0

apache-2.0

endpoints_compatible

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XLSR_Fine_Tuned_URDU

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_8_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.8115
Wer: 0.4815

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: 0.0001
train_batch_size: 8
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: 1000
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.7221	3.25	1000	3.0131	0.9985
1.6219	6.49	2000	0.9179	0.6336
0.7747	9.74	3000	0.7975	0.5804
0.5796	12.99	4000	0.7820	0.5524
0.4672	16.23	5000	0.8220	0.5317
0.4002	19.48	6000	0.8080	0.5107
0.3587	22.73	7000	0.7889	0.4926
0.3192	25.97	8000	0.8137	0.4875
0.3	29.22	9000	0.8115	0.4815

Framework versions

Transformers 4.21.0
Pytorch 1.11.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Sania67/XLSR_Fine_Tuned_URDU

XLSR_Fine_Tuned_URDU

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sania67/
XLSR_Fine_Tuned_URDU