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README.md
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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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metrics:
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- wer
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model-index:
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- name: Whisper Small Hi - Swedish
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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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dataset:
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name: Common Voice 11.0
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type: mozilla-foundation/common_voice_11_0
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args: 'config: hi, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 73.25581395348837
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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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# Whisper Small Hi - Swedish
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2416
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- Wer: 73.2558
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## Model description
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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: 50
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| No log | 10.0 | 10 | 1.9940 | 68.6047 |
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| No log | 20.0 | 20 | 1.5088 | 67.4419 |
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| 1.7621 | 30.0 | 30 | 1.1441 | 73.2558 |
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| 1.7621 | 40.0 | 40 | 1.1533 | 72.0930 |
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| 0.3453 | 50.0 | 50 | 1.2187 | 73.2558 |
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| 0.3453 | 60.0 | 60 | 1.2457 | 73.2558 |
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| 0.3453 | 70.0 | 70 | 1.2569 | 70.9302 |
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| 0.1928 | 80.0 | 80 | 1.2524 | 70.9302 |
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| 0.1928 | 90.0 | 90 | 1.2480 | 72.0930 |
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| 0.1278 | 100.0 | 100 | 1.2416 | 73.2558 |
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### Framework versions
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- Transformers 4.35.2
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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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model-index:
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- name: Whisper Small Hi - Swedish
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results: []
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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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# Whisper Small Hi - Swedish
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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## Model description
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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: 50
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- training_steps: 1100
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.2
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model.safetensors
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training_args.bin
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