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whisper-large-peft-lora-zh_TW-v0.0 – AI Model by bearbearyu1223 | AlphaNeural AI
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whisper-large-peft-lora-zh_TW-v0.0
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safetensors
generated_from_trainer
openai/whisper-large-v2
finetune
apache-2.0
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whisper-large-peft-lora-zh_TW-v0.0
This model is a fine-tuned version of
openai/whisper-large-v2
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1225
Wer: 0.2689
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: 0.001
train_batch_size: 8
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
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2333
1.0
886
0.1597
0.8056
0.1339
2.0
1772
0.1496
0.5801
0.0179
3.0
2658
0.1225
0.2689
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0
