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whisper-vulnerable – AI Model by HariprasathSB | AlphaNeural AI
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HariprasathSB
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whisper-vulnerable
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
sujith013/whisper-meduim-tamil-vulnerable
finetune
apache-2.0
endpoints_compatible
us
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whisper-vulnerable
This model is a fine-tuned version of
sujith013/whisper-meduim-tamil-vulnerable
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9527
Wer: 78.7841
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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
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
0.136
1.7621
200
0.9527
78.7841
Framework versions
Transformers 4.41.0
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
