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whisper-small-ar – AI Model by Anass-Srk | AlphaNeural AI
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Anass-Srk
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whisper-small-ar
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-ar
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3220
Wer: 37.1239
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: 0.0001
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: 50
training_steps: 400
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.2845
0.2513
100
1.2540
88.7267
0.9098
0.5025
200
0.8130
76.2804
0.4903
0.7538
300
0.5251
55.3367
0.3246
1.0050
400
0.3220
37.1239
Framework versions
Transformers 4.44.1
Pytorch 2.4.0+cu124
Datasets 2.21.0
Tokenizers 0.19.1
