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whisper-large-v3-ar-preprocessed – AI Model by CheeLi03 | AlphaNeural AI
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whisper-large-v3-ar-preprocessed
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tensorboard
safetensors
whisper
hf-asr-leaderboard
generated_from_trainer
ar
google/fleurs
openai/whisper-large-v3
finetune
apache-2.0
model-index
us
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Whisper Large V3 tr finetuned 3 - 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: 0.2954
Wer: 497.6687
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
0.0075
6.6667
1000
0.2375
284.7117
0.0015
13.3333
2000
0.2613
384.6258
0.0001
20.0
3000
0.2883
500.4663
0.0001
26.6667
4000
0.2954
497.6687
Framework versions
Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
