End of training
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README.md
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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:
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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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#
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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: 0.
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- Wer:
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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:
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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:
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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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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 3.
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| 0.
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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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model.safetensors
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runs/Mar25_00-54-09_Edwards-MacBook-Pro-2.local/events.out.tfevents.1711342456.Edwards-MacBook-Pro-2.local.8489.0
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