Update README.md

README.md

@@ -13,23 +13,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 # albert-albert-large-v2
 
-This model is a fine-tuned version of [albert/albert-large-v2](https://huggingface.co/albert/albert-large-v2) on an unknown dataset.
+This model is a fine-tuned version of [albert/albert-large-v2](https://huggingface.co/albert/albert-large-v2) on the raw version of the dataset https://huggingface.co/datasets/siddharthl1293/engineering_design_facts.
 It achieves the following results on the evaluation set:
 - Loss: 0.0032
 
-## Model description
+## Model Intent
 
-More information needed
+The model was trained to identify relationship tokens in a sentence when a pair of entities are marked. For more info, please go through the dataset description:
+https://huggingface.co/datasets/siddharthl1293/engineering_design_facts
 
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
 
 ### Training hyperparameters
 
@@ -48,6 +40,10 @@ The following hyperparameters were used during training:
 |:-------------:|:-----:|:----:|:---------------:|
 | 0.0032        | 1.0   | 9378 | 0.0032          |
 
+### Testing Results
+
+Testing accuracy was calculated on a test set wherein, all relationship tokens need to be identified in an example for the accuracy to be 1.
+The average testing accuracy across 37,509 testing examples is 0.995.
 
 ### Framework versions