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batch_size_8 – AI Model by monideep2255 | AlphaNeural AI
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monideep2255
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batch_size_8
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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batch_size_8
This model is a fine-tuned version of
facebook/wav2vec2-large-xlsr-53
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.5425
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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
num_epochs: 30
Training results
Training Loss
Epoch
Step
Validation Loss
22.7791
6.67
200
4.0094
3.7834
13.33
400
3.6360
3.6483
20.0
600
3.6478
3.59
26.67
800
3.5425
Framework versions
Transformers 4.28.0
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.2
