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wav2vec2-xls-r-tf-left-right-shuru – AI Model by hrdipto | AlphaNeural AI
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wav2vec2-xls-r-tf-left-right-shuru
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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wav2vec2-xls-r-tf-left-right-shuru
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0921
Wer: 1.2628
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: 32
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: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
6.5528
23.81
500
0.5509
1.9487
0.2926
47.62
1000
0.1306
1.2756
0.1171
71.43
1500
0.1189
1.2628
0.0681
95.24
2000
0.0921
1.2628
Framework versions
Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.13.3
Tokenizers 0.10.3