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whisper-medium-tw – AI Model by lucky50911 | AlphaNeural AI
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whisper-medium-tw
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tensorboard
safetensors
whisper
generated_from_trainer
common_voice_11_0
openai/whisper-medium
finetune
apache-2.0
us
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whisper-medium-tw
This model is a fine-tuned version of
openai/whisper-medium
on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.1475
Cer: 8.0387
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
2.4677
0.0709
50
1.0916
350.4360
0.312
0.1418
100
0.1475
8.0387
Framework versions
Transformers 4.41.2
Pytorch 2.8.0+cu126
Datasets 2.18.0
Tokenizers 0.19.1
