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End of training

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README.md CHANGED
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  ---
 
 
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  license: apache-2.0
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  base_model: openai/whisper-tiny.en
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  tags:
 
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  - generated_from_trainer
 
 
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  metrics:
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  - wer
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  model-index:
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- - name: whisper-tiny-exp.en
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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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  should probably proofread and complete it, then remove this comment. -->
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- # whisper-tiny-exp.en
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- This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0687
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- - Wer: 97.9292
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  ## Model description
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@@ -38,26 +54,22 @@ More information needed
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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: 8
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 16
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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: 1500
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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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- | 3.8666 | 1.39 | 250 | 1.4867 | 67.3857 |
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- | 0.9805 | 2.77 | 500 | 0.1304 | 166.9543 |
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- | 0.3395 | 4.16 | 750 | 0.0789 | 81.0181 |
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- | 0.1938 | 5.54 | 1000 | 0.0717 | 70.7506 |
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- | 0.1461 | 6.93 | 1250 | 0.0684 | 91.9758 |
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- | 0.1212 | 8.31 | 1500 | 0.0687 | 97.9292 |
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  ### Framework versions
 
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  ---
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+ language:
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+ - en
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  license: apache-2.0
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  base_model: openai/whisper-tiny.en
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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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+ - eai6/bungoma_training
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper tiny
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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: Nyansapo AI Dataset
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+ type: eai6/bungoma_training
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+ args: 'config: en, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 379.5513373597929
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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
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+ This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the Nyansapo AI Dataset dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4549
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+ - Wer: 379.5513
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  ## Model description
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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: 16
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  - eval_batch_size: 8
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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: 250
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+ - training_steps: 1000
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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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+ | 3.2224 | 1.38 | 250 | 0.6100 | 153.0630 |
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+ | 0.545 | 2.76 | 500 | 0.0995 | 662.3814 |
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+ | 0.2906 | 4.14 | 750 | 0.0822 | 650.7334 |
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+ | 0.2063 | 5.52 | 1000 | 0.4549 | 379.5513 |
 
 
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  ### Framework versions
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