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whisper_final1 – AI Model by HariprasathSB | AlphaNeural AI
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HariprasathSB
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whisper_final1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
HariprasathSB/whisper_final
finetune
endpoints_compatible
us
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whisper_final1
This model is a fine-tuned version of
HariprasathSB/whisper_final
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9131
Wer: 72.0667
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: 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: 200
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0014
0.8772
100
0.9335
72.4138
0.0096
1.7544
200
0.9558
72.6937
0.0075
2.6316
300
0.9131
72.0667
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
