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whisper-small-xc-0530 – AI Model by xchu2000 | AlphaNeural AI
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whisper-small-xc-0530
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transformers
pytorch
tensorboard
whisper
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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whisper-small-xc-0530
This model is a fine-tuned version of
openai/whisper-small.en
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4729
Wer: 21.1526
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
0.0002
90.91
1000
0.4433
19.5413
0.0001
181.82
2000
0.4606
21.0046
0.0
272.73
3000
0.4697
20.5196
0.0
363.64
4000
0.4729
21.1526
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
