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README.md

@@ -1,3 +1,24 @@
+---
+language:
+- en
+license: apache-2.0
+tags:
+- sentiment-analysis
+- text-classification
+- distilbert
+- sst2
+datasets:
+- glue
+- sst2
+metrics:
+- accuracy
+base_model: distilbert-base-uncased
+pipeline_tag: text-classification
+widget:
+- text: "This movie is absolutely amazing!"
+- text: "I hated every minute of it."
+- text: "Best film I've ever seen!"
+---
 
 # DistilBERT SST-2 Sentiment Analysis
 
@@ -10,6 +31,7 @@ This model is a fine-tuned version of `distilbert-base-uncased` on the SST-2 (St
 - **Language:** English
 - **Training Dataset:** SST-2 (GLUE benchmark)
 - **Author:** Naji (Аммар Нажи Али Саад)
+- **Institution:** Kazan Federal University
 
 ## Training Details
 
@@ -25,6 +47,7 @@ This model is a fine-tuned version of `distilbert-base-uncased` on the SST-2 (St
 - **Learning rate:** 2e-5
 - **Optimizer:** AdamW
 - **Weight decay:** 0.01
+- **Platform:** Google Colab (T4 GPU)
 
 ### Results
 - **Validation Accuracy:** 89.9%