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whisper-small-sw-cv-13-aug-9 – AI Model by Lawrence | AlphaNeural AI
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Lawrence
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whisper-small-sw-cv-13-aug-9
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pytorch
tensorboard
whisper
hf-asr-leaderboard
generated_from_trainer
hi
mozilla-foundation/common_voice_11_0
apache-2.0
model-index
us
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Whisper Small Hi - Sanchit Gandhi
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: 0.6458
Wer: 41.3148
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: 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
0.4912
0.29
1000
0.8084
56.0128
0.3949
0.57
2000
0.7061
51.6301
0.3512
0.86
3000
0.6605
48.2202
0.2319
1.14
4000
0.6458
41.3148
Framework versions
Transformers 4.28.1
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.13.3
