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whisper-small-ar2 – AI Model by whitefox123 | AlphaNeural AI
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whisper-small-ar2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ar
whitefox123/tashkeel
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper small - tuned
This model is a fine-tuned version of
openai/whisper-small
on the CLARtts dataset. It achieves the following results on the evaluation set:
Loss: 0.1638
Wer: 24.3604
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: 3125
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1186
1.6
1000
0.1555
26.6667
0.0374
3.2
2000
0.1500
24.3964
0.0222
4.8
3000
0.1638
24.3604
Framework versions
Transformers 4.38.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.17.0
Tokenizers 0.15.2
