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Cardiology_small.en_1530_1500 – AI Model by Dev372 | AlphaNeural AI
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Cardiology_small.en_1530_1500
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
HarshDev_custom_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: 0.0236
Wer: 1.2966
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: 15
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: 1500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0026
6.0976
500
0.0240
1.6613
0.0002
12.1951
1000
0.0234
1.2966
0.0002
18.2927
1500
0.0236
1.2966
Framework versions
Transformers 4.42.4
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1
