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whisper-large-marathi – AI Model by durgesh10 | AlphaNeural AI
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whisper-large-marathi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
mr
mozilla-foundation/common_voice_17_0
openai/whisper-large
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-large-marathi
This model is a fine-tuned version of
openai/whisper-large
on the Common Voice 17 dataset. It achieves the following results on the evaluation set:
Loss: 0.1845
Wer Ortho: 32.4713
Wer: 11.9958
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: 12
seed: 42
gradient_accumulation_steps: 2
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: 20
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.1771
1.0
250
0.2041
36.0371
13.7851
0.0806
2.0
500
0.1845
32.4713
11.9958
Framework versions
Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.19.1
