Create README.md

README.md

@@ -0,0 +1,62 @@
+---
+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: 14.261890699371158
+---
+
+
+# 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: 0.2588
+- Wer: 14.2619
+
+### 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: 4000
+- mixed_precision_training: Native AMP
+### Training results
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0783        | 1.3   | 1000 | 0.2478          | 15.5647 |
+| 0.0287        | 2.6   | 2000 | 0.2441          | 14.3765 |
+| 0.0087        | 3.9   | 3000 | 0.2516          | 14.3349 |
+| 0.0021        | 5.19  | 4000 | 0.2588          | 14.2619 |
+
+### Framework versions
+- Transformers 4.26.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.7.1
+- Tokenizers 0.13.2