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whisper-small-th-v3 – AI Model by watcharakorn | AlphaNeural AI
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whisper-small-th-v3
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transformers
pytorch
whisper
automatic-speech-recognition
th-v3-asr-leaderboard
generated_from_trainer
th
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small th - mix dataset v.3
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2360
Wer: 73.3863
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: 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: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2542
0.51
1000
0.2360
73.3863
Framework versions
Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
