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README.md

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+---
+language:
+- danish
+- norwegian
+- swedish
+license: apache-2.0
+tags:
+- whisper-event
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+- mozilla-foundation/common_voice_11_0
+- mozilla-foundation/common_voice_11_0
+- babelbox/babelbox_voice
+- NbAiLab/NST
+- NbAiLab/NPSC
+- google/fleurs
+- google/fleurs
+- google/fleurs
+metrics:
+- wer
+model-index:
+- name: Whisper Tiny Nordic
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: mozilla-foundation/common_voice_11_0 nn-NO
+      type: mozilla-foundation/common_voice_11_0
+      config: null
+      split: None
+    metrics:
+    - name: Wer
+      type: wer
+      value: 87.65957446808511
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: babelbox/babelbox_voice nst
+      type: babelbox/babelbox_voice
+    metrics:
+    - name: Wer
+      type: wer
+      value: 87.65957446808511
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: NbAiLab/NST no-distant
+      type: NbAiLab/NST
+    metrics:
+    - name: Wer
+      type: wer
+      value: 87.65957446808511
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: NbAiLab/NPSC 16K_mp3_nynorsk
+      type: NbAiLab/NPSC
+    metrics:
+    - name: Wer
+      type: wer
+      value: 87.65957446808511
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: google/fleurs nb_no
+      type: google/fleurs
+    metrics:
+    - name: Wer
+      type: wer
+      value: 87.65957446808511
+---
+
+<!-- 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 Tiny Nordic
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0 sv-SE, the mozilla-foundation/common_voice_11_0 da, the mozilla-foundation/common_voice_11_0 nn-NO, the babelbox/babelbox_voice nst, the NbAiLab/NST no-distant, the NbAiLab/NPSC 16K_mp3_nynorsk, the google/fleurs sv_se, the google/fleurs da_dk and the google/fleurs nb_no datasets.
+It achieves the following results on the evaluation set:
+- Loss: 5.1226
+- Wer: 87.6596
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.26.0.dev0
+- Pytorch 1.13.1+cu117
+- Datasets 2.7.1.dev0
+- Tokenizers 0.13.2