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wav2vec2-ptbr-v1 – AI Model by GabrielCD01 | AlphaNeural AI
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GabrielCD01
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wav2vec2-ptbr-v1
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
pt
facebook/wav2vec2-large-xlsr-53
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-ptbr-v1
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: 2.9420
Wer: 0.9781
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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Use 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: 1000
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
8.2347
1.0812
200
4.0833
0.9751
3.3114
2.1625
400
3.2509
0.9751
3.1363
3.2437
600
3.0916
0.9751
3.0484
4.3250
800
2.9420
0.9781
Framework versions
Transformers 4.57.6
Pytorch 2.10.0+cu128
Datasets 4.5.0
Tokenizers 0.22.2
