Update README.md

README.md

@@ -18,15 +18,15 @@ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co
 
 ## Model description
 
-More information needed
+See the [bert-base-uncased](https://huggingface.co/bert-base-uncased) for more details. The only architectural modification made was to the classification head. Here, 7 classes were used.
 
 ## Intended uses & limitations
 
-More information needed
+This model is intended for demonstration purposes only. The problem type data was in English and contains many LaTeX tokens.
 
 ## Training and evaluation data
 
-More information needed
+The `problem` field of [competition_math dataset](https://huggingface.co/datasets/competition_math) was used for training and evaluation input data. The target data was taken from the `type` field. 
 
 ## Training procedure
 
@@ -43,7 +43,22 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-
+This fine-tuned model achieves the following result on the problem type competition math test set:
+```
+                        precision    recall  f1-score   support
+
+               Algebra       0.78      0.79      0.79      1187
+Counting & Probability       0.75      0.81      0.78       474
+              Geometry       0.76      0.83      0.79       479
+  Intermediate Algebra       0.86      0.84      0.85       903
+         Number Theory       0.79      0.82      0.80       540
+            Prealgebra       0.66      0.61      0.63       871
+           Precalculus       0.95      0.89      0.92       546
+
+              accuracy                           0.79      5000
+             macro avg       0.79      0.80      0.79      5000
+          weighted avg       0.79      0.79      0.79      5000
+```
 
 ### Framework versions