Update README.md

README.md

@@ -11,6 +11,11 @@ metrics:
 model-index:
 - name: distilBert_NER_finer
   results: []
+datasets:
+- nlpaueb/finer-139
+language:
+- en
+pipeline_tag: token-classification
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,7 +23,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilBert_NER_finer
 
-This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
+This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the [Finer-139](https://huggingface.co/datasets/nlpaueb/finer-139) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0198
 - Precision: 0.9445
@@ -26,17 +31,10 @@ It achieves the following results on the evaluation set:
 - F1: 0.9541
 - Accuracy: 0.9954
 
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
 
 ## Training and evaluation data
 
-More information needed
+The training data consists of the 4 most widely available ner_tags from the Finer-139 dataset. The training and the test data were curated from this source accordingly
 
 ## Training procedure
 
@@ -65,4 +63,4 @@ The following hyperparameters were used during training:
 - Transformers 4.38.2
 - Pytorch 2.2.1+cu121
 - Datasets 2.18.0
-- Tokenizers 0.15.2
+- Tokenizers 0.15.2