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DynamicWav2Vec_TEST_14 – AI Model by MarioNapoli | AlphaNeural AI

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MarioNapoli/
DynamicWav2Vec_TEST_14

like

0

automatic-speech-recognition

generated_from_trainer

common_voice_1_0

joaoalvarenga/wav2vec2-large-xlsr-italian

endpoints_compatible

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DynamicWav2Vec_TEST_14

This model is a fine-tuned version of joorock12/wav2vec2-large-xlsr-italian on the common_voice_1_0 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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Framework versions

Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1