Update README.md

README.md

@@ -16,10 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # romaneng2nep_v2
 
-This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
+This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an [syubraj/roman2nepali-transliteration](https://huggingface.co/datasets/syubraj/roman2nepali-transliteration).
 It achieves the following results on the evaluation set:
 - Loss: 2.7225
-- Bleu: 0.0
 - Gen Len: 5.2131
 
 ## Model description
@@ -49,23 +48,23 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step  | Validation Loss | Bleu | Gen Len |
-|:-------------:|:------:|:-----:|:---------------:|:----:|:-------:|
-| 15.2574       | 0.0626 | 1000  | 5.7371          | 0.0  | 2.0266  |
-| 6.1453        | 0.1251 | 2000  | 4.5094          | 0.0  | 4.5514  |
-| 5.3182        | 0.1877 | 3000  | 4.0351          | 0.0  | 4.7656  |
-| 4.9218        | 0.2503 | 4000  | 3.6947          | 0.0  | 4.9841  |
-| 4.6397        | 0.3128 | 5000  | 3.4644          | 0.0  | 5.1216  |
-| 4.433         | 0.3754 | 6000  | 3.3009          | 0.0  | 5.2036  |
-| 4.2494        | 0.4380 | 7000  | 3.1525          | 0.0  | 5.1748  |
-| 4.1467        | 0.5005 | 8000  | 3.0482          | 0.0  | 5.232   |
-| 4.0272        | 0.5631 | 9000  | 2.9592          | 0.0  | 5.253   |
-| 3.9598        | 0.6257 | 10000 | 2.8917          | 0.0  | 5.1893  |
-| 3.9116        | 0.6882 | 11000 | 2.8292          | 0.0  | 5.2252  |
-| 3.8435        | 0.7508 | 12000 | 2.7871          | 0.0  | 5.2148  |
-| 3.8047        | 0.8134 | 13000 | 2.7574          | 0.0  | 5.2123  |
-| 3.7818        | 0.8759 | 14000 | 2.7338          | 0.0  | 5.2409  |
-| 3.7764        | 0.9385 | 15000 | 2.7225          | 0.0  | 5.2131  |
+| Training Loss | Epoch  | Step  | Validation Loss | Gen Len |
+|:-------------:|:------:|:-----:|:---------------:|:-------:|
+| 15.2574       | 0.0626 | 1000  | 5.7371          | 2.0266  |
+| 6.1453        | 0.1251 | 2000  | 4.5094          | 4.5514  |
+| 5.3182        | 0.1877 | 3000  | 4.0351          | 4.7656  |
+| 4.9218        | 0.2503 | 4000  | 3.6947          | 4.9841  |
+| 4.6397        | 0.3128 | 5000  | 3.4644          | 5.1216  |
+| 4.433         | 0.3754 | 6000  | 3.3009          | 5.2036  |
+| 4.2494        | 0.4380 | 7000  | 3.1525          | 5.1748  |
+| 4.1467        | 0.5005 | 8000  | 3.0482          | 5.232   |
+| 4.0272        | 0.5631 | 9000  | 2.9592          | 5.253   |
+| 3.9598        | 0.6257 | 10000 | 2.8917          | 5.1893  |
+| 3.9116        | 0.6882 | 11000 | 2.8292          | 5.2252  |
+| 3.8435        | 0.7508 | 12000 | 2.7871          | 5.2148  |
+| 3.8047        | 0.8134 | 13000 | 2.7574          | 5.2123  |
+| 3.7818        | 0.8759 | 14000 | 2.7338          | 5.2409  |
+| 3.7764        | 0.9385 | 15000 | 2.7225          | 5.2131  |
 
 
 ### Framework versions