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whisper-small-th-newmm-old – AI Model by parinzee | AlphaNeural AI
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whisper-small-th-newmm-old
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
th
mozilla-foundation/common_voice_11_0
apache-2.0
endpoints_compatible
us
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Whisper Small Thai Newmm Tokenized - Parinthapat Pengpun
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:
eval_loss: 0.2095
eval_wer: 26.6533
eval_cer: 8.0405
eval_runtime: 5652.2819
eval_samples_per_second: 1.934
eval_steps_per_second: 0.061
epoch: 5.06
step: 2000
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: 64
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: 500
training_steps: 5000
mixed_precision_training: Native AMP
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.0+cu116
Datasets 2.7.1
Tokenizers 0.13.2
