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whisper-tiny-ar-puct-5k – AI Model by CheeLi03 | AlphaNeural AI
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whisper-tiny-ar-puct-5k
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ar
fleurs
openai/whisper-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Base Arabic - Chee Li
This model is a fine-tuned version of
openai/whisper-base
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.8130
Wer: 41.8186
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1475
6.6667
1000
0.5516
41.1441
0.0072
13.3333
2000
0.6801
40.6570
0.0023
20.0
3000
0.7548
40.9443
0.0013
26.6667
4000
0.7970
41.4439
0.0009
33.3333
5000
0.8130
41.8186
Framework versions
Transformers 4.46.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.20.1
