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whisper-tiny-ja-puct-4k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-tiny-ja-puct-4k
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
ja
fleurs
openai/whisper-tiny
finetune
apache-2.0
model-index
us
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Whisper Tiny Japanese - Chee Li
This model is a fine-tuned version of
openai/whisper-tiny
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.8285
Wer: 347.5842
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
0.161
6.25
1000
0.6874
1070.8638
0.0196
12.5
2000
0.7621
1201.0249
0.0063
18.75
3000
0.8127
416.8375
0.0046
25.0
4000
0.8285
347.5842
Framework versions
Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
