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--- |
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language: |
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- ar |
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license: apache-2.0 |
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tags: |
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- hf-ast-leaderboard |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Small arb - GP |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Small arb - GP |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Dialect Arabic dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1489 |
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- Wer: 110.7984 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 4000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.9933 | 1.89 | 1000 | 2.0970 | 125.2555 | |
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| 1.3119 | 3.79 | 2000 | 1.9818 | 113.1290 | |
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| 0.7643 | 5.68 | 3000 | 2.0559 | 115.4176 | |
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| 0.5144 | 7.58 | 4000 | 2.1489 | 110.7984 | |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.11.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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