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--- |
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language: |
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- 'no' |
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- sv |
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- da |
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license: apache-2.0 |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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- mozilla-foundation/common_voice_11_0 |
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- mozilla-foundation/common_voice_11_0 |
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- babelbox/babelbox_voice |
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- NbAiLab/NST |
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- NbAiLab/NPSC |
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- google/fleurs |
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- google/fleurs |
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- google/fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper Tiny Nordic |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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metrics: |
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- name: Wer |
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type: wer |
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value: 87.65957446808511 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper Tiny Nordic |
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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 |
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mozilla-foundation/common_voice_11_0 da |
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mozilla-foundation/common_voice_11_0 nn-NO |
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babelbox/babelbox_voice nst |
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NbAiLab/NST no-distant |
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NbAiLab/NPSC 16K_mp3_nynorsk |
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google/fleurs sv_se |
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google/fleurs da_dk |
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google/fleurs nb_no dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.1226 |
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- Wer: 87.6596 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- training_steps: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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### Framework versions |
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- Transformers 4.26.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.7.1.dev0 |
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- Tokenizers 0.13.2 |
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