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whisper-large-turbo-medical – AI Model by Farhang87 | AlphaNeural AI
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whisper-large-turbo-medical
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whisper
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Farhang87/whisperlargeturbo-Medical-ASR-Data
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Whisper Large Turbo Medical
This model is a fine-tuned version of
openai/whisper-large-turbo
on the Medical ASR dataset. It achieves the following results on the evaluation set:
Loss: 0.0672
Wer: 4.3447
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: 32
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: 50
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2994
0.5405
100
0.2101
9.9928
0.1405
1.0811
200
0.1212
5.7929
0.0859
1.6216
300
0.0929
4.4895
0.044
2.1622
400
0.0739
3.9585
0.0248
2.7027
500
0.0672
4.3447
Framework versions
Transformers 4.49.0
Pytorch 2.4.0+cu121
Datasets 3.3.2
Tokenizers 0.21.0
