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whisper-tiny-vi-puct-4k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-tiny-vi-puct-4k
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
vi
fleurs
openai/whisper-tiny
finetune
apache-2.0
model-index
us
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Whisper Tiny Viet - 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: 0.9492
Wer: 113.9086
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
0.2593
4.7619
1000
0.7965
83.3513
0.0633
9.5238
2000
0.8520
143.8831
0.0165
14.2857
3000
0.9207
117.2121
0.0111
19.0476
4000
0.9492
113.9086
Framework versions
Transformers 4.43.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
