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small-finetune-4000-whisper-ar – AI Model by WajeehAzeemX | AlphaNeural AI
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small-finetune-4000-whisper-ar
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
arbml/whisper-small-ar
finetune
apache-2.0
endpoints_compatible
us
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Whisper Small Ar 4000 Finetuned - AzeemX
This model is a fine-tuned version of
arbml/whisper-small-ar
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0551
Wer: 137.1649
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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
0.1103
1.0323
1000
0.1106
77.6886
0.042
2.0645
2000
0.0782
75.1757
0.0146
3.0968
3000
0.0606
107.6103
0.0064
4.1290
4000
0.0551
137.1649
Framework versions
Transformers 4.45.2
Pytorch 2.3.1
Datasets 3.0.1
Tokenizers 0.20.0
