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wav2vec2-xlsr-fine-tuning – AI Model by UserDeleted2345 | AlphaNeural AI
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wav2vec2-xlsr-fine-tuning
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safetensors
wav2vec2
generated_from_trainer
jonatasgrosman/wav2vec2-large-xlsr-53-english
finetune
apache-2.0
us
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wav2vec2-xlsr-fine-tuning
This model is a fine-tuned version of
jonatasgrosman/wav2vec2-large-xlsr-53-english
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0241
Wer: 3.3688
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: 4e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
0.9935
76
0.0404
4.7163
No log
2.0
153
0.0292
3.8179
No log
2.9935
229
0.0247
3.4436
No log
3.9739
304
0.0241
3.3688
Framework versions
Transformers 4.42.3
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
