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whisper-tiny-th – AI Model by suphisara | AlphaNeural AI
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suphisara
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whisper-tiny-th
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-th
This model is a fine-tuned version of
openai/whisper-tiny
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8878
Cer: 32.6613
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
No log
1.0
7
0.9728
36.6935
1.1416
2.0
14
0.9296
35.2823
0.895
3.0
21
0.9034
34.2742
0.895
4.0
28
0.8915
32.5605
0.8155
5.0
35
0.8878
32.6613
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
