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--- |
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license: apache-2.0 |
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base_model: t5-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: synthea_t5_summarization_model |
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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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# synthea_t5_summarization_model |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.9861 |
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- Rouge1: 0.2084 |
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- Rouge2: 0.0262 |
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- Rougel: 0.2027 |
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- Rougelsum: 0.2039 |
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- Gen Len: 12.3023 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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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- num_epochs: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| No log | 1.0 | 22 | 3.8819 | 0.0 | 0.0 | 0.0 | 0.0 | 19.0 | |
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| No log | 2.0 | 44 | 3.2929 | 0.0162 | 0.004 | 0.0149 | 0.0146 | 18.907 | |
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| No log | 3.0 | 66 | 3.0590 | 0.1346 | 0.0159 | 0.1313 | 0.1319 | 14.9651 | |
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| No log | 4.0 | 88 | 2.9861 | 0.2084 | 0.0262 | 0.2027 | 0.2039 | 12.3023 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.15.2 |
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