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--- |
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language: |
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- sw |
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license: apache-2.0 |
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base_model: openai/whisper-large |
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tags: |
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- hf-asr-leaderboard |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_14_0 |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper small - Denis Musinguzi |
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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 14.0 |
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type: mozilla-foundation/common_voice_14_0 |
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config: sw |
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split: None |
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args: 'config: sw, split: test' |
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metrics: |
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- name: Wer |
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type: wer |
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value: 0.25130933149495305 |
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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 small - Denis Musinguzi |
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This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co./openai/whisper-large) on the Common Voice 14.0 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4428 |
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- Wer: 0.2513 |
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- Cer: 0.0983 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 10000 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Cer | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:------:|:---------------:|:------:| |
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| 0.9179 | 0.51 | 800 | 0.1412 | 0.5355 | 0.3693 | |
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| 0.3078 | 1.02 | 1600 | 0.1196 | 0.4343 | 0.3152 | |
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| 0.1959 | 1.53 | 2400 | 0.1172 | 0.4068 | 0.2822 | |
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| 0.1737 | 2.04 | 3200 | 0.1145 | 0.3922 | 0.2721 | |
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| 0.1046 | 2.55 | 4000 | 0.1084 | 0.3958 | 0.2634 | |
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| 0.1019 | 3.06 | 4800 | 0.1029 | 0.3957 | 0.2578 | |
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| 0.0588 | 3.57 | 5600 | 0.1132 | 0.4013 | 0.2666 | |
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| 0.0545 | 4.08 | 6400 | 0.1009 | 0.4112 | 0.2510 | |
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| 0.0305 | 4.59 | 7200 | 0.0941 | 0.4183 | 0.2442 | |
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| 0.0275 | 5.1 | 8000 | 0.1005 | 0.4303 | 0.2549 | |
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| 0.0153 | 5.61 | 8800 | 0.4374 | 0.2407 | 0.0908 | |
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| 0.014 | 6.12 | 9600 | 0.4428 | 0.2513 | 0.0983 | |
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### Framework versions |
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- Transformers 4.38.1 |
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- Pytorch 2.2.1 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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