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dgx2_w2v2_base_teacher_finetune_babble_noise_mozilla_100_epochs_try2 – AI Model by rohitp1 | AlphaNeural AI
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rohitp1
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dgx2_w2v2_base_teacher_finetune_babble_noise_mozilla_100_epochs_try2
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
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dgx2_w2v2_base_teacher_finetune_babble_noise_mozilla_100_epochs_try2
This model is a fine-tuned version of
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: 0.0001
train_batch_size: 32
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 256
total_train_batch_size: 8192
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.2
num_epochs: 50
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.25.1
Pytorch 1.12.1
Datasets 2.8.0
Tokenizers 0.13.2
