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wav2vec2-large-xlsr-tutorial-pt-br-5.0 – AI Model by aryamtos | AlphaNeural AI
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wav2vec2-large-xlsr-tutorial-pt-br-5.0
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
common_voice_13_0
lgris/bp400-xlsr
finetune
apache-2.0
model-index
endpoints_compatible
us
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wav2vec2-large-xlsr-tutorial-pt-br-5.0
This model is a fine-tuned version of
lgris/bp400-xlsr
on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.6661
Wer: 0.7539
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: 200
num_epochs: 16
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
5.0104
6.3492
200
1.2945
0.9866
0.7801
12.6984
400
0.6661
0.7539
Framework versions
Transformers 4.46.0.dev0
Pytorch 2.4.1+cu121
Datasets 3.0.1.dev0
Tokenizers 0.20.0
