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Sania67/
XLSR_Fine_Tuned_Urdu_V2

Name: XLSR_Fine_Tuned_Urdu_V2
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_V2

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: 0.8023
Wer: 0.4382

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
6.424	3.25	1000	2.9777	1.0
1.4315	6.49	2000	0.8493	0.5896
0.6938	9.74	3000	0.7438	0.4978
0.5129	12.99	4000	0.7480	0.4785
0.4133	16.23	5000	0.7568	0.4600
0.3496	19.48	6000	0.7387	0.4471
0.3133	22.73	7000	0.7655	0.4426
0.2767	25.97	8000	0.8081	0.4530
0.2581	29.22	9000	0.8023	0.4382

Framework versions

Transformers 4.21.0
Pytorch 1.11.0+cu113
Datasets 2.4.0
Tokenizers 0.12.1

Sania67/XLSR_Fine_Tuned_Urdu_V2

XLSR_Fine_Tuned_Urdu_V2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sania67/
XLSR_Fine_Tuned_Urdu_V2