Update README.md

README.md

@@ -27,9 +27,9 @@ model-index:
       type: mutiyama/alt
     metrics:
     - type: chrf
-      value: 38.83
+      value: 21.3502
     - type: bertscore
-      value: 0.8608
+      value: 0.8983
 pipeline_tag: translation
 new_version: lyfeyvutha/nllb_350M_en_km_v10
 ---
@@ -114,8 +114,6 @@ outputs = model.generate(**inputs, generation_config=generation_config)
 translation = tokenizer.decode(outputs, skip_special_tokens=True)
 print(translation)
 
-
-
 ## Training Details
 
 ### Training Data
@@ -136,6 +134,12 @@ print(translation)
 ### Testing Data
 The model was evaluated on the Asian Language Treebank (ALT) corpus, containing manually translated English-Khmer pairs.
 
+### Metrics
+| Metric | Value |
+|--------|-------|
+| chrF Score | 21.3502 |
+| BERTScore F1 | 0.8983 |
+
 ### Results
 This proof-of-concept model demonstrates that knowledge distillation can achieve reasonable translation quality with significantly reduced parameters (350M vs 600M baseline).