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whisper-small – AI Model by varunril | AlphaNeural AI
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varunril
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whisper-small
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transformers
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
hi
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Odia - Auro Tripathy with tips from Sanchit language None
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: 0.5753
Wer: 59.7596
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0036
20.0
1000
0.3950
60.8472
0.0016
40.0
2000
0.4374
61.1906
0.0001
60.0
3000
0.5229
59.5306
0.0
80.0
4000
0.5753
59.7596
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2
