Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: openai/whisper-small
+  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: 44.976586
+---
+
+<!-- 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. -->
+
+# openai/whisper-small
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.322550
+- Wer: 44.976586
+
+## 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:
+    train_batch_size=16
+    gradient_accumulation_steps=1
+    learning_rate=1e-5
+    warmup_steps=500
+    max_steps=4000
+    gradient_checkpointing=True
+    fp16=True
+    evaluation_strategy="steps"
+    save_steps=1000
+    eval_steps=1000
+    logging_steps=25
+    metric_for_best_model="wer"
+
+
+### Training results
+
+
+| Training Loss | Step | Validation Loss  | Wer       |
+|:-------------:|:----:|:----------------:|:---------:|
+| 0.2811        | 1000 | 0.393018         | 53.778349 |
+| 0.2356        | 2000 | 0.348794         | 47.793591 |
+| 0.1705        | 3000 | 0.332207         | 45.758883 |
+| 0.1476        | 4000 | 0.322550         | 44.976586 |
+
+
+### Framework versions
+
+