Update README.md

README.md

@@ -5,67 +5,32 @@ tags:
 metrics:
 - rouge
 model-index:
-- name: DanSumT5-baseV_13284V_36974V_40973
+- name: DaMedSum-base
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# DanSumT5-baseV_13284V_36974V_40973
-
-This model is a fine-tuned version of [emilstabil/DanSumT5-baseV_13284V_36974](https://huggingface.co/emilstabil/DanSumT5-baseV_13284V_36974) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.0844
-- Rouge1: 34.7659
-- Rouge2: 12.0539
-- Rougel: 21.7003
-- Rougelsum: 32.4346
-- Gen Len: 125.7257
+```
+ _____    ______   __    __   ______   _____    ______   __  __   __    __    
+/\  __-. /\  __ \ /\ "-./  \ /\  ___\ /\  __-. /\  ___\ /\ \/\ \ /\ "-./  \   
+\ \ \/\ \\ \  __ \\ \ \-./\ \\ \  __\ \ \ \/\ \\ \___  \\ \ \_\ \\ \ \-./\ \  
+ \ \____- \ \_\ \_\\ \_\ \ \_\\ \_____\\ \____- \/\_____\\ \_____\\ \_\ \ \_\ 
+  \/____/  \/_/\/_/ \/_/  \/_/ \/_____/ \/____/  \/_____/ \/_____/ \/_/  \/_/ 
+                                                                                                                                                                        
+```
 
 ## Model description
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
+This repository contains a model for Danish abstractive summarisation of medicaltext. 
 
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 6
-- eval_batch_size: 6
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 24
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- num_epochs: 11
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len  |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:--------:|
-| No log        | 1.0   | 79   | 2.0942          | 34.8616 | 12.1787 | 21.938  | 32.7257   | 125.2743 |
-| No log        | 1.99  | 158  | 2.0948          | 35.2673 | 12.4538 | 22.1361 | 33.0224   | 125.4852 |
-| No log        | 2.99  | 237  | 2.0952          | 34.9658 | 12.3838 | 21.8458 | 32.7172   | 125.4684 |
-| No log        | 4.0   | 317  | 2.0912          | 35.0599 | 12.2917 | 22.056  | 32.8679   | 125.789  |
-| No log        | 5.0   | 396  | 2.0928          | 34.8244 | 12.177  | 21.7107 | 32.5448   | 125.7342 |
-| No log        | 5.99  | 475  | 2.0921          | 34.9628 | 12.0905 | 21.9328 | 32.6944   | 125.7384 |
-| 1.9703        | 6.99  | 554  | 2.0894          | 35.2438 | 12.2584 | 22.0919 | 32.8896   | 125.6118 |
-| 1.9703        | 8.0   | 634  | 2.0880          | 35.0228 | 12.0681 | 21.9121 | 32.6604   | 125.7848 |
-| 1.9703        | 9.0   | 713  | 2.0864          | 34.9607 | 12.0556 | 21.8096 | 32.5884   | 125.6751 |
-| 1.9703        | 9.99  | 792  | 2.0849          | 34.7755 | 12.0721 | 21.7294 | 32.4555   | 125.7215 |
-| 1.9703        | 10.97 | 869  | 2.0844          | 34.7659 | 12.0539 | 21.7003 | 32.4346   | 125.7257 |
+This model is a fine-tuned version of DanSum-base on a danish medical dataset.
 
+## Authors
+Nicolaj Larsen,
+Mikkel Kildeberg &
+Emil Schledermann
 
 ### Framework versions
 
@@ -73,3 +38,4 @@ The following hyperparameters were used during training:
 - Pytorch 1.12.1+git7548e2f
 - Datasets 2.13.2
 - Tokenizers 0.13.3
+