update model card README.md

README.md

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+---
+language:
+- ar
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small - Arabic language
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_11_0
+      type: common_voice_11_0
+      config: ar
+      split: test
+      args: ar
+    metrics:
+    - name: Wer
+      type: wer
+      value: 46.54301717014048
+---
+
+<!-- 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 - Arabic language
+
+This model is a fine-tuned version of [MohammadJamalaldeen/whisper-small-with-google-fleurs-ar-4000_steps](https://huggingface.co/MohammadJamalaldeen/whisper-small-with-google-fleurs-ar-4000_steps) on the common_voice_11_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3383
+- Wer: 46.5430
+
+## 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
+- 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     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.347         | 0.2   | 1000 | 0.4275          | 53.6902 |
+| 0.2591        | 0.39  | 2000 | 0.3821          | 49.4996 |
+| 0.2681        | 0.59  | 3000 | 0.3503          | 47.5989 |
+| 0.271         | 0.78  | 4000 | 0.3383          | 46.5430 |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- Pytorch 1.13.1+cu116
+- Datasets 2.7.0
+- Tokenizers 0.13.2