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whisper-small-arabic-finetuned-on-halabi_daataset_no-diacritics-2 – AI Model by mohmdsh | AlphaNeural AI
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mohmdsh
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whisper-small-arabic-finetuned-on-halabi_daataset_no-diacritics-2
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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-arabic-finetuned-on-halabi_daataset_no-diacritics-2
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: 0.2181
Wer: 0.2491
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: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 200
training_steps: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0426
3.5133
200
0.2065
0.2491
0.0069
7.0177
400
0.2383
0.2585
0.0021
10.5310
600
0.2496
0.2736
0.0007
14.0354
800
0.2582
0.2786
0.0006
17.5487
1000
0.2600
0.2765
Framework versions
Transformers 4.47.0.dev0
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.3
