added test set results

README.md

@@ -1,20 +1,43 @@
 ---
 license: apache-2.0
 tags:
-- generated_from_trainer
+- distigpt2
+- hearthstone
 metrics:
 - bleu
+- dvitel/codebleu
+- exact_match
+- chrf
+datasets:
+- dvitel/hearthstone
 model-index:
 - name: h0
-  results: []
+  results:
+  - task:
+      type: text-generation
+      name: Python Code Synthesis
+    dataset:
+      type: dvitel/hearthstone
+      name: HearthStone
+      split: test
+    metrics:
+      - type: exact_match
+        value: 0.19696969696969696
+        name: Exact Match
+      - type: bleu
+        value: 0.8881228393983
+        name: BLEU        
+      - type: dvitel/codebleu
+        value: 0.6764180663401291
+        name: CodeBLEU                
+      - type: dvitel/codebleu
+        value: 90.6099642899634
+        name: chrF                        
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # h0
 
-This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
+This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an [hearthstone](https://huggingface.co/datasets/dvitel/hearthstone) dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3117
 - Exact Match: 0.1970
@@ -28,15 +51,15 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+DistilGPT2 fine-tuned on HearthStone dataset for 200 epochs
 
 ## Intended uses & limitations
 
-More information needed
+HearthStone card code synthesis. 
 
 ## Training and evaluation data
 
-More information needed
+See split of [hearthstone](https://huggingface.co/datasets/dvitel/hearthstone) dataset
 
 ## Training procedure