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whisper-tiny-hi_test – AI Model by GautamR | AlphaNeural AI
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whisper-tiny-hi_test
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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whisper-tiny-hi_test
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.3405
Wer: 101.7544
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: 32
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 4
training_steps: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
2.3725
10.0
10
2.3405
101.7544
1.5413
20.0
20
1.7254
263.1579
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
