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whisper-tiny_to_chinese_accent_4000_6 – AI Model by GeorgePaulson | AlphaNeural AI
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whisper-tiny_to_chinese_accent_4000_6
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
en
Chinese_english_4000_106
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Chinese_english_4000_106
This model is a fine-tuned version of
openai/whisper-tiny
on the Chinese English dataset. It achieves the following results on the evaluation set:
Loss: 0.8355
Wer: 24.7021
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-06
train_batch_size: 2
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0002
1.2837
1000
0.8259
24.7021
0.0002
2.5674
2000
0.8297
24.5433
0.0002
3.8511
3000
0.8339
24.6545
0.0002
5.1348
4000
0.8355
24.7021
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
