whisper-small-ko-normalized-1273h – AI Model by jangmin | AlphaNeural AI

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whisper-small-ko-normalized-1273h

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whisper-small-ko-normalized-1273h

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1426
Wer: 0.0671

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0726	1.0	6581	0.1490	0.0721
0.0368	2.0	13162	0.1405	0.0686
0.0317	3.0	19743	0.1426	0.0671

Framework versions

Transformers 4.28.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.11.0
Tokenizers 0.13.2
Evaluation Result for the dataset google/fleurs

The trained model is evaluated on the test split of subset ko_kr from the dataset google/fleurs. Please note that the model was not trained on the train split from the dataset.

model	Wer
openai/whisper	0.2826
this model	0.2679