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End of training

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README.md CHANGED
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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: 67.45562130177515
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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: 1.6114
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- - Wer: 67.4556
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  ## Model description
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@@ -61,16 +45,19 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 32
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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: 75
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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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- | 2.2113 | 2.5 | 25 | 2.1600 | 48.5207 |
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- | 1.7347 | 5.0 | 50 | 1.7906 | 53.8462 |
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- | 1.3358 | 7.5 | 75 | 1.6114 | 67.4556 |
 
 
 
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  ### Framework versions
 
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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.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.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: 0.0722
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+ - Wer: 66.0915
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  ## Model description
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  - total_train_batch_size: 32
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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: 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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+ | 3.058 | 2.76 | 250 | 0.5285 | 243.4858 |
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+ | 0.4211 | 5.52 | 500 | 0.0833 | 84.1242 |
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+ | 0.1963 | 8.29 | 750 | 0.0767 | 121.1389 |
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+ | 0.1269 | 11.05 | 1000 | 0.0716 | 57.2908 |
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+ | 0.103 | 13.81 | 1250 | 0.0732 | 113.0285 |
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+ | 0.1177 | 16.57 | 1500 | 0.0722 | 66.0915 |
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  ### Framework versions
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