first training information

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # output
 
-This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on [SWAG](https://huggingface.co/datasets/allenai/swag) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6749
 - Accuracy: 0.7503
@@ -29,11 +29,15 @@ More information needed
 
 ## Intended uses & limitations
 
-More information needed
+This model should be used as an expert in the [Meteor-of-LoRA framework](https://github.com/ParagonLight/meteor-of-lora).
 
 ## Training and evaluation data
 
-More information needed
+The data were splitted based on HuggingFace default dataset:
+
+```python3
+dataset = load_dataset("swag")
+```
 
 ## Training procedure