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whisper-small-th-validated – AI Model by pother | AlphaNeural AI
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whisper-small-th-validated
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tensorboard
safetensors
whisper
generated_from_trainer
th
mozilla-foundation/common_voice_17_0
openai/whisper-small
finetune
apache-2.0
model-index
us
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Whisper Small Th
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 17.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5440
Wer: 1.0356
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.271
0.1087
1000
0.6722
0.9915
0.1989
0.2174
2000
0.6011
1.0015
0.1557
0.3262
3000
0.5610
0.9642
0.1744
0.4349
4000
0.5440
1.0356
Framework versions
Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
