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wav2vec2-base_lr_2e-4_20_epochs_no_eval – AI Model by bisoye | AlphaNeural AI

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bisoye/
wav2vec2-base_lr_2e-4_20_epochs_no_eval

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audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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wav2vec2-base_lr_2e-4_20_epochs_no_eval

This model is a fine-tuned version of facebook/wav2vec2-base on the None 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: 0.0002
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training results

Framework versions

Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1