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facebook_wav2vec2-xls-r-300m_command_5_second_10h – AI Model by namkyeong | AlphaNeural AI
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facebook_wav2vec2-xls-r-300m_command_5_second_10h
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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facebook_wav2vec2-xls-r-300m_command_5_second_10h
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: 30.1702
Cer: 1.0
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: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
57.0768
0.71
30
77.6296
1.0
40.2674
1.42
60
47.2930
1.0
29.1638
2.14
90
38.6357
1.0
23.2974
2.85
120
30.1702
1.0
Framework versions
Transformers 4.17.0
Pytorch 1.10.0+cu113
Datasets 2.20.0
Tokenizers 0.15.2