Update README.md

README.md

@@ -4,6 +4,8 @@ tags:
 - 
 datasets:
 - EXIST Dataset
+- MeTwo Machismo and Sexism Twitter Identification dataset
+
 metrics:
 - accuracy
 model-index:
@@ -19,15 +21,15 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.86
+      value: 0.94
 ---
 
 # twitter_sexismo-finetuned-exist2021
 
-This model is a fine-tuned version of [pysentimiento/robertuito-hate-speech](https://huggingface.co/pysentimiento/robertuito-hate-speech) on the EXIST dataset.
+This model is a fine-tuned version of [pysentimiento/robertuito-hate-speech](https://huggingface.co/pysentimiento/robertuito-hate-speech) on the EXIST dataset and + MeTwo: Machismo and Sexism Twitter Identification dataset https://github.com/franciscorodriguez92/MeTwo.
 It achieves the following results on the evaluation set:
-- Loss: 0.4
-- Accuracy: 0.86
+- Loss: 0.24
+- Accuracy: 0.94
 
 ## Model description
 
@@ -57,22 +59,26 @@ The following hyperparameters were used during training:
 
 ### Training results
 Epoch 	Training Loss 	Validation Loss 	Accuracy 	F1 	Precision 	Recall
+1 	0.246700 	0.179020 	0.942982 	0.944110 	0.933673 	0.954783
+
+2 	0.079300 	0.319939 	0.928070 	0.930976 	0.902121 	0.961739
+
+3 	0.022300 	0.425300 	0.921053 	0.920071 	0.940109 	0.900870
 
-1 	      0.398400 	0.336709 	0.861404 	0.855311 	0.872897 	0.838420
+4 	0.000300 	0.472090 	0.919298 	0.918149 	0.939891 	0.897391
 
-2 	      0.136100 	0.575872 	0.846491 	0.854772 	0.794753 	0.924596
+5 	0.009000 	0.510828 	0.918421 	0.921783 	0.892508 	0.953043
 
-3 	      0.105600 	0.800685 	0.848246 	0.837863 	0.876471 	0.802513
+6 	0.000200 	0.496530 	0.922807 	0.923077 	0.927944 	0.918261
 
-4 	      0.066500 	0.928388 	0.849123 	0.856187 	0.801252 	0.919210
+7 	0.000000 	0.568268 	0.922807 	0.925297 	0.903814 	0.947826
 
-5 	      0.004500 	0.990655 	0.851754 	0.853680 	0.824415 	0.885099
+8 	0.000000 	0.532735 	0.927193 	0.928139 	0.924138 	0.932174
 
-6 	      0.005500 	1.035315 	0.852632 	0.856164 	0.818331 	0.897666
+9 	0.000000 	0.545693 	0.928070 	0.929553 	0.918506 	0.940870
 
-7 	      0.000200 	1.052970 	0.857895 	0.859375 	0.831933 	0.888689
+10	0.000000 	0.547560 	0.928070 	0.929553 	0.918506 	0.940870303
 
-8 	      0.001700 	1.048338 	0.856140 	0.857143 	0.832487 	0.883303
 
 
 ### Framework versions