End of training
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README.md
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# whisper-base-akan-v1
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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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# whisper-base-akan-v1
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.0085
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- eval_runtime: 32.8168
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- eval_samples_per_second: 6.094
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- eval_steps_per_second: 0.762
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- epoch: 20.0
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- step: 1000
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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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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adapter_model.safetensors
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