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whisper-large-ar6 – AI Model by whitefox123 | AlphaNeural AI
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whisper-large-ar6
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
ar
whitefox123/tashkeel
openai/whisper-large-v3
finetune
apache-2.0
model-index
endpoints_compatible
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Whisper large - tuned
This model is a fine-tuned version of
openai/whisper-large-v3
on the CLARtts dataset. It achieves the following results on the evaluation set:
Loss: 0.1346
Wer: 217.9099
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
0.0843
1.6
1000
0.1141
248.9730
0.024
3.2
2000
0.1194
274.9189
0.0108
4.8
3000
0.1346
217.9099
Framework versions
Transformers 4.38.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.17.0
Tokenizers 0.15.2
