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Whisper_Small_Odia_CV_11.0_5k_steps – AI Model by Ranjit | AlphaNeural AI
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Ranjit
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Whisper_Small_Odia_CV_11.0_5k_steps
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
or
mozilla-foundation/common_voice_11_0
afl-3.0
model-index
endpoints_compatible
us
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Whisper_Small_Odia_CV_11.0_5k_steps
This model is a fine-tuned version of
Ranjit/Whisper_Small_Odia_10k_steps
on the
mozilla-foundation/common_voice_11_0 or
dataset. It achieves the following results on the evaluation set:
Loss: 0.4827
Wer: 23.4979
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 200
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0018
50.0
1000
0.3315
24.0903
0.0
100.0
2000
0.4098
23.7236
0.0
150.0
3000
0.4827
23.4979
0.0
200.0
4000
0.4914
23.8928
0.0
250.0
5000
0.4953
23.7800