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whisperrSmall-marathi – AI Model by Melroy | AlphaNeural AI
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Melroy
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whisperrSmall-marathi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
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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WhisperSmallMarathi - Melroy Pereira
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: 0.4587
Wer: 44.0719
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
0.0596
4.07
1000
0.2856
45.0132
0.0048
8.13
2000
0.3908
44.7489
0.0005
12.2
3000
0.4386
43.8012
0.0002
16.26
4000
0.4587
44.0719
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0
