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wav2vec2-gpt2-wandb-grid-search – AI Model by sanchit-gandhi | AlphaNeural AI

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sanchit-gandhi/
wav2vec2-gpt2-wandb-grid-search

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speech-encoder-decoder

automatic-speech-recognition

generated_from_trainer

librispeech_asr

endpoints_compatible

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This model was trained from scratch on the librispeech_asr 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: 0.001
train_batch_size: 12
eval_batch_size: 12
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 96
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1.0
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu113
Datasets 1.18.3
Tokenizers 0.11.0