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whisper-small-ISSAI_KSC_335RS_v2

Automatic Speech Recognition

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whisper-small-ISSAI_KSC_335RS_v2

This model was trained from scratch 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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 1001
mixed_precision_training: Native AMP

Framework versions

Transformers 4.30.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

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Automatic Speech Recognition

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Evaluation results

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