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whisper-large-v3-fa-ft – AI Model by liqi03 | AlphaNeural AI
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whisper-large-v3-fa-ft
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
fa
google/fleurs
openai/whisper-large-v3
finetune
apache-2.0
model-index
us
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Whisper Large V3 fa ft - 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: 0.2141
Wer: 30.8548
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-06
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
0.0755
4.6083
1000
0.1422
20.4518
0.0144
9.2166
2000
0.1790
28.1817
0.0036
13.8249
3000
0.2039
28.6605
0.0033
18.4332
4000
0.2141
30.8548
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
