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wav2vec2-base-2 – AI Model by malinoori | AlphaNeural AI

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malinoori/
wav2vec2-base-2

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wav2vec2-base-2

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.5953
eval_wer: 0.3621
eval_runtime: 54.4895
eval_samples_per_second: 30.832
eval_steps_per_second: 3.854
epoch: 22.61
step: 22500

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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.17.0
Pytorch 1.11.0+cu113
Datasets 1.18.3
Tokenizers 0.12.1