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whisper-large-v3-fa-ft2 – AI Model by liqi03 | AlphaNeural AI
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whisper-large-v3-fa-ft2
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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 2 - 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: 0.1595
Wer: 24.1921
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: 250
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1176
2.3041
500
0.1506
14.7516
0.0718
4.6083
1000
0.1432
20.4020
0.0501
6.9124
1500
0.1535
23.5787
0.0332
9.2166
2000
0.1595
24.1921
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
