You can deploy this model and start earning money today!

Maniac/
wav2vec2-xls-r-60-urdu

Name: wav2vec2-xls-r-60-urdu
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

mozilla-foundation/common_voice_7_0

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

Views

No views yet

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - UR dataset. It achieves the following results on the evaluation set:

Loss: 3.8433
Wer: 0.9852

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: 64
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.468	166.67	500	3.0262	1.0035
0.0572	333.33	1000	3.5352	0.9721
0.0209	500.0	1500	3.7266	0.9834
0.0092	666.67	2000	3.8433	0.9852

Framework versions

Transformers 4.16.0.dev0
Pytorch 1.10.1+cu102
Datasets 1.17.1.dev0
Tokenizers 0.11.0

Maniac/wav2vec2-xls-r-60-urdu

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Maniac/
wav2vec2-xls-r-60-urdu