Create README.md

README.md

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+---
+language:
+- fy
+license: apache-2.0
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Western Frisian (Netherlands)
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: mozilla-foundation/common_voice_11_0 fy-NL
+      type: mozilla-foundation/common_voice_11_0
+      config: fy-NL
+      split: test
+      args: fy-NL
+    metrics:
+    - name: Wer
+      type: wer
+      value: 21.03
+---
+
+<!-- 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 fy-NL - RuudVelo
+
+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 test set:
+- Loss: 0.1443
+- Wer: 21.03
+
+## 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: 64
+- eval_batch_size: 8
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss |  Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:---------------:|:------:|
+| 0.0053        |  1000 | 0.4201          | 21.64  |
+| 0.0008        |  2000 | 0.4607          | 21.03  |
+| 0.0004        |  3000 | 0.4853          | 21.11  |
+| 0.0003        |  4000 | 0.5015          | 21.14  |
+| 0.0002        |  5000 | 0.5084          | 21.20  |
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2