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whisper-small-gy – AI Model by jeff7522553 | AlphaNeural AI
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whisper-small-gy
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tensorboard
safetensors
whisper
whisper-event
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
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Whisper small TW - from gy
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0166
Wer: 16.8640
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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0046
3.4965
1000
0.0193
19.7097
0.0007
6.9930
2000
0.0161
17.3797
0.0001
10.4895
3000
0.0163
16.7876
0.0001
13.9860
4000
0.0165
16.8640
0.0001
17.4825
5000
0.0166
16.8640
Framework versions
Transformers 4.50.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.21.4
