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whisper-large-v3-pl-preprocessed – AI Model by CheeLi03 | AlphaNeural AI
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whisper-large-v3-pl-preprocessed
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
pl
fleurs
openai/whisper-large-v3
finetune
apache-2.0
model-index
us
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Whisper Large V3 pl preprocessed - Chee Li
This model is a fine-tuned version of
openai/whisper-large-v3
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.1369
Wer: 332.9440
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
0.006
5.0251
1000
0.1174
340.0275
0.0002
10.0503
2000
0.1296
200.6596
0.0001
15.0754
3000
0.1343
331.7760
0.0001
20.1005
4000
0.1369
332.9440
Framework versions
Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
