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HarshDev-whisper-small-English_4000 – AI Model by Dev372 | AlphaNeural AI
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HarshDev-whisper-small-English_4000
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
Hani89/medical_asr_recording_dataset
openai/whisper-small.en
finetune
apache-2.0
model-index
endpoints_compatible
us
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Model card
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English Whisper Model
This model is a fine-tuned version of
openai/whisper-small.en
on the Medical dataset. It achieves the following results on the evaluation set:
Loss: 0.1085
Wer: 6.6812
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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0268
3.0030
1000
0.1019
6.4189
0.0017
6.0060
2000
0.1010
5.6903
0.0012
9.0090
3000
0.1064
6.6302
0.0001
12.0120
4000
0.1085
6.6812
Framework versions
Transformers 4.42.2
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
