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wav2vec2-lar-xlsr-finetune-es-col – AI Model by Santiagot1105 | AlphaNeural AI
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Santiagot1105
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wav2vec2-lar-xlsr-finetune-es-col
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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wav2vec2-lar-xlsr-finetune-es-col
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: 0.1669
Wer: 0.2595
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
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
5.1108
8.51
400
0.5936
0.6085
0.3015
17.02
800
0.2071
0.2941
0.0989
25.53
1200
0.1669
0.2595
Framework versions
Transformers 4.11.3
Pytorch 1.10.1+cu102
Datasets 1.13.3
Tokenizers 0.10.3
