update model card README.md

README.md

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+---
+language:
+- ar
+license: apache-2.0
+tags:
+- hf-ast-leaderboard
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Small arb - GP
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Whisper Small arb - GP
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Dialect Arabic dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1489
+- Wer: 110.7984
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- 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      |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.9933        | 1.89  | 1000 | 2.0970          | 125.2555 |
+| 1.3119        | 3.79  | 2000 | 1.9818          | 113.1290 |
+| 0.7643        | 5.68  | 3000 | 2.0559          | 115.4176 |
+| 0.5144        | 7.58  | 4000 | 2.1489          | 110.7984 |
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.11.0
+- Datasets 2.1.0
+- Tokenizers 0.12.1