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whisper-base-vi-puct-4k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-base-vi-puct-4k
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
vi
fleurs
openai/whisper-base
finetune
apache-2.0
model-index
us
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Whisper Base Vietnamese Punctuation 4k - Chee Li
This model is a fine-tuned version of
openai/whisper-base
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.8081
Wer: 31.0898
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
0.1162
4.7619
1000
0.6436
31.9466
0.0088
9.5238
2000
0.7434
30.3875
0.0032
14.2857
3000
0.7912
31.6996
0.0025
19.0476
4000
0.8081
31.0898
Framework versions
Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
