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wav2vec2-ctc-scratch-50M – AI Model by TheRamsay | AlphaNeural AI

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TheRamsay/
wav2vec2-ctc-scratch-50M

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automatic-speech-recognition

generated_from_trainer

fav-kky/wav2vec2-base-cs-80k-ClTRUS

cc-by-nc-sa-4.0

endpoints_compatible

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wav2vec2-ctc-scratch-50M

This model is a fine-tuned version of fav-kky/wav2vec2-base-cs-80k-ClTRUS on an unknown 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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.45
num_epochs: 10

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.3.2
Tokenizers 0.21.0