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whisper-small-ckb – AI Model by aria220 | AlphaNeural AI
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whisper-small-ckb
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pytorch
tensorboard
whisper
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
us
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whisper-small-sorani
This model is a fine-tuned version of
openai/whisper-small
on the common voice v15 dataset. It achieves the following results on the evaluation set:
Loss: 0.0334
Wer: 0.0613
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: 56
eval_batch_size: 32
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1005
0.55
1000
0.1405
0.2743
0.0711
1.09
2000
0.0858
0.1772
0.0609
1.64
3000
0.0585
0.1151
0.02
2.19
4000
0.0408
0.0789
0.0169
2.74
5000
0.0334
0.0613
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.14.0
