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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: distil-whisper/distil-medium.en
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: distil-medium.en-ft-children-with-sli-final
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+ results: []
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+ ---
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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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+ # distil-medium.en-ft-children-with-sli-final
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+
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+ This model is a fine-tuned version of [distil-whisper/distil-medium.en](https://huggingface.co/distil-whisper/distil-medium.en) on the ChildrenSLIDataset dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0355
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+ - Accuracy: 0.9960
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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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_ratio: 0.1
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+ - num_epochs: 8
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.0002 | 1.0 | 504 | 0.1653 | 0.9762 |
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+ | 0.0011 | 2.0 | 1008 | 0.0079 | 0.9960 |
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+ | 0.0003 | 3.0 | 1512 | 0.0546 | 0.9921 |
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+ | 0.0 | 4.0 | 2016 | 0.0279 | 0.9960 |
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+ | 0.0 | 5.0 | 2520 | 0.0323 | 0.9960 |
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+ | 0.0 | 6.0 | 3024 | 0.0343 | 0.9960 |
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+ | 0.0 | 7.0 | 3528 | 0.0351 | 0.9960 |
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+ | 0.0 | 8.0 | 4032 | 0.0355 | 0.9960 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.0.dev0
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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