Update README.md

README.md

@@ -5,67 +5,32 @@ tags:
 metrics:
 - rouge
 model-index:
-- name: DanSumT5-smallV_45767V_52355V_7660
+- name: DaMedSum-small
   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-smallV_45767V_52355V_7660
+```
+ _____    ______   __    __   ______   _____    ______   __  __   __    __    
+/\  __-. /\  __ \ /\ "-./  \ /\  ___\ /\  __-. /\  ___\ /\ \/\ \ /\ "-./  \   
+\ \ \/\ \\ \  __ \\ \ \-./\ \\ \  __\ \ \ \/\ \\ \___  \\ \ \_\ \\ \ \-./\ \  
+ \ \____- \ \_\ \_\\ \_\ \ \_\\ \_____\\ \____- \/\_____\\ \_____\\ \_\ \ \_\ 
+  \/____/  \/_/\/_/ \/_/  \/_/ \/_____/ \/____/  \/_____/ \/_____/ \/_/  \/_/ 
+                                                                                                                                                                        
+```
 
-This model is a fine-tuned version of [emilstabil/DanSumT5-smallV_45767V_52355](https://huggingface.co/emilstabil/DanSumT5-smallV_45767V_52355) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.3932
-- Rouge1: 34.5352
-- Rouge2: 11.9341
-- Rougel: 21.4899
-- Rougelsum: 32.0084
-- Gen Len: 126.2447
+## DaMedSum
 
-## Model description
+This repository contains a model for Danish abstractive summarisation of medicaltext. 
 
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 10
-- eval_batch_size: 10
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 40
-- 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        | 0.99  | 47   | 2.4069          | 34.5802 | 11.8249 | 21.4672 | 32.0387   | 125.9072 |
-| No log        | 2.0   | 95   | 2.4024          | 34.3627 | 11.7441 | 21.2184 | 31.8869   | 126.0042 |
-| No log        | 2.99  | 142  | 2.4040          | 34.2328 | 11.5022 | 21.2019 | 31.7474   | 125.9958 |
-| No log        | 4.0   | 190  | 2.4002          | 34.3259 | 11.5709 | 21.2498 | 31.8805   | 126.2068 |
-| No log        | 4.99  | 237  | 2.3988          | 34.3771 | 11.5555 | 21.3218 | 31.8772   | 125.9367 |
-| No log        | 6.0   | 285  | 2.3983          | 34.4098 | 11.6914 | 21.3358 | 31.9277   | 126.3333 |
-| No log        | 6.99  | 332  | 2.3960          | 34.5531 | 11.8207 | 21.4971 | 32.0056   | 126.616  |
-| No log        | 8.0   | 380  | 2.3952          | 34.3497 | 11.7249 | 21.3948 | 31.8378   | 126.789  |
-| No log        | 8.99  | 427  | 2.3935          | 34.4175 | 11.9061 | 21.4974 | 31.9233   | 126.6329 |
-| No log        | 10.0  | 475  | 2.3935          | 34.5727 | 11.9325 | 21.5313 | 32.0453   | 126.2447 |
-| 2.5639        | 10.88 | 517  | 2.3932          | 34.5352 | 11.9341 | 21.4899 | 32.0084   | 126.2447 |
+This model is a fine-tuned version of DanSum-small 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
+