update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-small-ar-Noise2
+  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-ar-Noise2
+
+This model is a fine-tuned version of [MohammedNasri/whisper-small-ar-Noise](https://huggingface.co/MohammedNasri/whisper-small-ar-Noise) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2544
+- Wer: 20.9167
+
+## 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: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0283        | 0.21  | 1000 | 0.3144          | 23.5388 |
+| 0.0543        | 0.42  | 2000 | 0.2991          | 22.7861 |
+| 0.083         | 0.62  | 3000 | 0.2827          | 23.0508 |
+| 0.087         | 0.83  | 4000 | 0.2611          | 21.3127 |
+| 0.0223        | 1.04  | 5000 | 0.2544          | 20.9167 |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 1.13.0
+- Datasets 2.11.0
+- Tokenizers 0.13.2