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whisper-genshin-en-2 – AI Model by shaunliu82714 | AlphaNeural AI
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whisper-genshin-en-2
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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 ZXL2
This model is a fine-tuned version of
openai/whisper-small
on the GS_EN2 dataset. It achieves the following results on the evaluation set:
Loss: 0.0942
Wer: 8.1851
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: 2e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
training_steps: 8000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1989
0.25
2000
0.1866
11.3754
0.0957
1.0859
4000
0.1161
8.5347
0.1161
1.3359
6000
0.1137
8.4223
0.0329
2.1717
8000
0.0942
8.1851
Framework versions
Transformers 4.45.1
Pytorch 2.4.1+cu121
Datasets 3.0.1
Tokenizers 0.20.0
