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README.md
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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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# mt5-large_V8901_V89881_V17542
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This model is a fine-tuned version of [emilstabil/mt5-large_V8901_V89881](https://huggingface.co/emilstabil/mt5-large_V8901_V89881) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7588
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- Rouge1: 27.8059
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- Rouge2: 10.1962
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- Rougel: 15.3479
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- Rougelsum: 26.1829
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- Gen Len: 540.9451
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## Model description
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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: 1e-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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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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: 11
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### Training results
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| 1.871 | 2.11 | 500 | 1.7570 | 27.3094 | 9.9205 | 15.0662 | 25.6006 | 544.1983 |
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| 1.7982 | 4.21 | 1000 | 1.7661 | 27.6824 | 9.8242 | 15.2022 | 25.9032 | 537.4388 |
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| 1.7311 | 6.32 | 1500 | 1.7713 | 27.3113 | 9.6774 | 14.9355 | 25.6303 | 539.827 |
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| 1.7432 | 8.42 | 2000 | 1.7636 | 27.8775 | 10.0766 | 15.1629 | 26.1014 | 537.5359 |
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| 1.7775 | 10.53 | 2500 | 1.7588 | 27.8059 | 10.1962 | 15.3479 | 26.1829 | 540.9451 |
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### Framework versions
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metrics:
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- rouge
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model-index:
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- name: DaMedSumT5-large
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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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## Model description
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This repository contains a model for Danish abstractive summarisation of medicaltext.
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This model is a fine-tuned version of mt5-large on a danish medical dataset.
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## Authors
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Nicolaj Larsen
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Mikkel Kildeberg
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Emil Schledermann
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### Framework versions
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