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wav2vec2-large-xlsr-53_full_train_full_train – AI Model by scasutt | AlphaNeural AI
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wav2vec2-large-xlsr-53_full_train_full_train
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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wav2vec2-large-xlsr-53_full_train_full_train
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.8369
Wer: 0.5052
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.533
1.35
1000
0.3547
0.3483
0.4531
2.69
2000
0.8369
0.5052
Framework versions
Transformers 4.19.0
Pytorch 1.11.0+cu102
Datasets 2.2.1
Tokenizers 0.12.1
