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wav2vec2-large-xlsr-hassania-demo-colab – AI Model by bastami | AlphaNeural AI
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wav2vec2-large-xlsr-hassania-demo-colab
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-large-xlsr-53
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-large-xlsr-hassania-demo-colab
This model is a fine-tuned version of
facebook/wav2vec2-large-xlsr-53
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.5479
Wer: 0.8696
Cer: 0.3691
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
9.1624
8.0
400
2.8900
0.9999
0.9815
4.1235
16.0
800
1.5362
0.9259
0.3998
1.9102
24.0
1200
1.5479
0.8696
0.3691
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
