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whisper-small-marathi – AI Model by devesh-2002 | AlphaNeural AI
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whisper-small-marathi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
mr
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Marathi - Devesh
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4955
Wer: 42.8986
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: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0675
4.0650
1000
0.2960
46.0318
0.0052
8.1301
2000
0.3973
43.8399
0.0015
12.1951
3000
0.4573
43.4337
0.0001
16.2602
4000
0.4837
42.9308
0.0001
20.3252
5000
0.4955
42.8986
Framework versions
Transformers 4.51.3
Pytorch 2.1.0+cu118
Datasets 3.5.0
Tokenizers 0.21.1
