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local_dataset – AI Model by tonyalves | AlphaNeural AI

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tonyalves/
local_dataset

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automatic-speech-recognition

mozilla-foundation/common_voice_8_0

generated_from_trainer

endpoints_compatible

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local_dataset

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - PT dataset.

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: 7.5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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: 2000
num_epochs: 50.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.17.0
Pytorch 1.9.1+cu102
Datasets 2.0.0
Tokenizers 0.11.6