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README.md
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- samsum
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## bart-base-samsum
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This model was trained using Amazon SageMaker and the new Hugging Face Deep Learning container.
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For more information look at:
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- [🤗 Transformers Documentation: Amazon SageMaker](https://huggingface.co/transformers/sagemaker.html)
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- [Example Notebooks](https://github.com/huggingface/notebooks/tree/master/sagemaker)
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- [Deep Learning Container](https://github.com/aws/deep-learning-containers/blob/master/available_images.md#huggingface-training-containers)
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## Result
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| key | value |
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| --- | ----- |
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| key | value |
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-
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## Usage
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```python
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- samsum
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## `bart-base-samsum`
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This model was trained using Amazon SageMaker and the new Hugging Face Deep Learning container.
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You can find the notebook [here]() and the referring blog post [here]().
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For more information look at:
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- [🤗 Transformers Documentation: Amazon SageMaker](https://huggingface.co/transformers/sagemaker.html)
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- [Example Notebooks](https://github.com/huggingface/notebooks/tree/master/sagemaker)
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- [Deep Learning Container](https://github.com/aws/deep-learning-containers/blob/master/available_images.md#huggingface-training-containers)
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## Result
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### Training
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| key | value |
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| --- | ----- |
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| epoch | 3 |
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| init_mem_cpu_alloc_delta | 180190 |
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| init_mem_cpu_peaked_delta | 18282 |
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| init_mem_gpu_alloc_delta | 558658048 |
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| init_mem_gpu_peaked_delta | 0 |
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| train_mem_cpu_alloc_delta | 6658519 |
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| train_mem_cpu_peaked_delta | 642937 |
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| train_mem_gpu_alloc_delta | 2267624448 |
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| train_mem_gpu_peaked_delta | 10355728896 |
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| train_runtime | 98.4931 |
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| train_samples | 14732 |
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| train_samples_per_second | 3.533 |
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### Evaluation
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| key | value |
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| --- | ----- |
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| epoch | 3 |
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| eval_loss | 1.5356481075286865 |
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| eval_mem_cpu_alloc_delta | 659047 |
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| eval_mem_cpu_peaked_delta | 18254 |
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| eval_mem_gpu_alloc_delta | 0 |
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| eval_mem_gpu_peaked_delta | 300285440 |
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| eval_runtime | 0.3116 |
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| eval_samples | 818 |
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| eval_samples_per_second | 2625.337 |
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## Usage
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```python
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