Create README.md

README.md

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+---
+language:
+- nl
+license: apache-2.0
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: FIFA_WC22_WINNER_LANGUAGE_MODEL
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: 'null'
+      split: None
+      args: 'config: nl, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 13.5797
+---
+
+
+# whisper-lt-finetune
+
+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: 0.2550
+- Wer: 13.5797
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- 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: 250
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.1556        | 0.97  | 1000 | 0.2354          | 15.2781 |
+| 0.0709        | 1.95  | 2000 | 0.2336          | 14.6419 |
+| 0.0259        | 2.92  | 3000 | 0.2415          | 14.0186 |
+| 0.0098        | 3.89  | 4000 | 0.2496          | 13.7355 |
+| 0.0056        | 4.87  | 5000 | 0.2550          | 13.5797 |
+
+### Framework versions
+- Transformers 4.26.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1
+- Tokenizers 0.13.2