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whisper-small – AI Model by yspark0519 | AlphaNeural AI

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yspark0519/
whisper-small

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mozilla-foundation/common_voice_11_0

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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:

eval_loss: 0.1456
eval_cer: 0.0426
eval_runtime: 2429.755
eval_samples_per_second: 3.947
eval_steps_per_second: 0.049
step: 0

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: 80
eval_batch_size: 80
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 0

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 3.2.0
Tokenizers 0.13.3