End of training
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        README.md
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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:  | 
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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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            #  | 
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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  | 
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            It achieves the following results on the evaluation set:
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            - Loss:  | 
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            - Wer:  | 
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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:  | 
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            - training_steps:  | 
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            ### Training results
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            | Training Loss | Epoch | Step | Validation Loss | Wer | 
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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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