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v1 – AI Model by Johnson1Chan | AlphaNeural AI
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper mediconnect
This model is a fine-tuned version of
openai/whisper-small
on the mediconnect dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Wer: 0.0
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: Use OptimizerNames.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: 500
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0009
200.0
200
0.0005
0.0
0.0001
400.0
400
0.0001
0.0
0.0001
600.0
600
0.0000
0.0
0.0
800.0
800
0.0000
0.0
0.0
1000.0
1000
0.0000
0.0
Framework versions
Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.4
