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--- |
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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: ViT-RadBert_Mimic |
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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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# ViT-RadBert_Mimic |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7877 |
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- Rouge1: 0.0 |
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- Rouge2: 0.0 |
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- Rougel: 0.0 |
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- Rougelsum: 0.0 |
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- Gen Len: 20.0 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 15 |
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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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| 0.2467 | 1.0 | 1750 | 0.2455 | 15.3883 | 0.0 | 15.4185 | 15.4293 | 12.065 | |
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| 0.2303 | 2.0 | 3500 | 0.2513 | 13.5368 | 0.0 | 13.5094 | 13.4921 | 14.028 | |
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| 0.233 | 3.0 | 5250 | 0.2487 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.2317 | 4.0 | 7000 | 0.2515 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.229 | 5.0 | 8750 | 0.2563 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.2334 | 6.0 | 10500 | 0.5032 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.216 | 7.0 | 12250 | 0.6445 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.2154 | 8.0 | 14000 | 0.7287 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.2065 | 9.0 | 15750 | 0.7666 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.206 | 10.0 | 17500 | 0.6641 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.2014 | 11.0 | 19250 | 0.7032 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.1784 | 12.0 | 21000 | 0.7845 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.1854 | 13.0 | 22750 | 0.8179 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.1801 | 14.0 | 24500 | 0.7788 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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| 0.1743 | 15.0 | 26250 | 0.7877 | 0.0 | 0.0 | 0.0 | 0.0 | 20.0 | |
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### Framework versions |
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- Transformers 4.37.1 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.1 |
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