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wav2vec2-base-minilibrispeech-2 – AI Model by 3funnn | AlphaNeural AI

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3funnn/
wav2vec2-base-minilibrispeech-2

like

0

automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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wav2vec2-base-minilibrispeech-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: 0.3808
eval_wer: 0.1817
eval_runtime: 7.9757
eval_samples_per_second: 13.666
eval_steps_per_second: 1.755
epoch: 28.5714
step: 7000

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: 150
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1