Add Training Results

README.md

@@ -6,6 +6,13 @@ tags:
 model-index:
 - name: gec-ua-uk
   results: []
+language:
+- uk
+metrics:
+- accuracy
+- precision
+- f1
+pipeline_tag: text2text-generation
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # gec-ua-uk
 
-This model is a fine-tuned version of [BonySmoke/gec-ua-uk](https://huggingface.co/BonySmoke/gec-ua-uk) on the None dataset.
+This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the [UA-GEC](https://github.com/grammarly/ua-gec) dataset.
 
 ## Model description
 
@@ -44,11 +51,23 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+The model was evaluated on the validation dataset provided in the [UNLP 2023 Shared Task in Grammatical Error Correction for Ukrainian](https://github.com/asivokon/unlp-2023-shared-task/tree/main)
+```
+=========== Span-Based Correction ============
+TP	FP	FN	Prec	Rec	F0.5
+570	158	698	0.783	0.4495	0.6818
+==============================================
 
 
+============ Span-Based Detection ============
+TP	FP	FN	Prec	Rec	F0.5
+604	124	662	0.8297	0.4771	0.7228
+==============================================
+```
+
 ### Framework versions
 
 - Transformers 4.32.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.4
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3