Create README.md

README.md

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+---
+language:
+- el
+license: apache-2.0
+tags:
+- whisper-event
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: whisper-small-el
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: mozilla-foundation/common_voice_11_0 el
+      type: mozilla-foundation/common_voice_11_0
+      config: el
+      split: test
+      args: el
+    metrics:
+    - name: Wer
+      type: wer
+      value: 25.696508172362552
+---
+
+# Whisper Small - Greek (el)
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 el dataset 
+for transcription in Greek.
+It achieves the following results on the evaluation set:
+
+- Wer: 20.2080
+
+
+### Training results
+
+Upon completion of training the best model was reloaded and tested with the following results extracted from the stdout log:
+```
+Loading best model from ./whisper-small-el/checkpoint-5000 (score: 20.208023774145616).
+
+{'train_runtime': 73232.697,
+'train_samples_per_second': 4.37,
+'train_steps_per_second': 0.068,
+'train_loss': 0.06146362095708027,
+'epoch': 94.34}
+
+TrainOutput(global_step=5000,
+    training_loss=0.06146362095708027,
+    metrics={'train_runtime': 73232.697,
+        'train_samples_per_second': 4.37,
+        'train_steps_per_second': 0.068,
+        'train_loss': 0.06146362095708027,
+        'epoch': 94.34})
+```
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.0
+- Datasets 2.7.1.dev0
+- Tokenizers 0.12.1