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whisper-medium-marathi – AI Model by sujith013 | AlphaNeural AI
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whisper-medium-marathi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
mr
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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./whisper-medium-marathi
This model is a fine-tuned version of
openai/whisper-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2773
Wer: 33.8720
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: 16
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
training_steps: 150
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1314
3.0
150
0.2773
33.8720
Framework versions
Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1
