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old-whisper-tiny-khmer2 – AI Model by ken0997 | AlphaNeural AI
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old-whisper-tiny-khmer2
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny-khmer
This model is a fine-tuned version of
openai/whisper-tiny
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.2487
Wer: 1.3242
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: 6.25e-06
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 80
training_steps: 800
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.4242
0.51
200
1.4528
1.1595
1.2641
1.01
400
1.3215
1.3512
1.1987
1.52
600
1.2649
1.2247
1.1687
2.03
800
1.2487
1.3242
Framework versions
Transformers 4.35.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.6.dev0
Tokenizers 0.14.1
