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whisper-small-en-genshin – AI Model by shaunliu82714 | AlphaNeural AI
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whisper-small-en-genshin
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small ZXL
This model is a fine-tuned version of
openai/whisper-small
on the GS_EN dataset. It achieves the following results on the evaluation set:
Loss: 0.1531
Wer: 10.0178
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: 32
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
0.2059
0.25
1000
0.1928
11.6620
0.1843
0.5
2000
0.1763
10.9737
0.1727
0.75
3000
0.1699
10.5659
0.1641
1.0962
4000
0.1531
10.0178
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
