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whisper-tiny-ja-alicia – AI Model by kosamit | AlphaNeural AI
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kosamit
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whisper-tiny-ja-alicia
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
kosamit/whisper-tiny-ja
finetune
endpoints_compatible
us
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「アリシア」という単語を学習させたモデル。
whisper-tiny-ja-alicia
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5542
Wer: 85.7143
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: 8
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: 10
training_steps: 40
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0311
3.33
10
0.3741
85.7143
0.0012
6.67
20
0.4759
85.7143
0.0001
10.0
30
0.5351
85.7143
0.0
13.33
40
0.5542
85.7143
Framework versions
Transformers 4.33.2
Pytorch 2.1.1+cu118
Datasets 2.16.1
Tokenizers 0.13.3
