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whisper-small-zh-hk – AI Model by weitao06 | AlphaNeural AI
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whisper-small-zh-hk
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
cantonese
zh-hk
hf-asr-leaderboard
generated_from_trainer
zh
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-zh-hk
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: 0.2332
Wer: 200.4809
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: Use 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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3422
0.5708
1000
0.3029
237.3286
0.1806
1.1416
2000
0.2574
181.2467
0.1626
1.7123
3000
0.2383
171.2199
0.0892
2.2831
4000
0.2332
200.4809
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
