update model card README.md

README.md

@@ -15,13 +15,13 @@ model-index:
     dataset:
       name: opus100
       type: opus100
-      config: en-hi
+      config: en-mr
       split: test
-      args: en-hi
+      args: en-mr
     metrics:
     - name: Bleu
       type: bleu
-      value: 13.5859
+      value: 18.5586
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,11 +29,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # MachineTranslation
 
-This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the opus100 dataset.
+This model is a fine-tuned version of [ShyamVarahagiri/MachineTranslation](https://huggingface.co/ShyamVarahagiri/MachineTranslation) on the opus100 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.2302
-- Bleu: 13.5859
-- Gen Len: 18.8405
+- Loss: 1.8066
+- Bleu: 18.5586
+- Gen Len: 9.8455
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 4.1183        | 1.0   | 695  | 2.4708          | 10.3498 | 19.673  |
-| 2.8109        | 2.0   | 1391 | 2.2799          | 12.738  | 18.8605 |
-| 2.4839        | 3.0   | 2085 | 2.2302          | 13.5859 | 18.8405 |
+| No log        | 0.99  | 35   | 1.9316          | 15.4969 | 9.799   |
+| No log        | 1.99  | 70   | 1.8314          | 17.8296 | 9.988   |
+| No log        | 2.98  | 105  | 1.8066          | 18.5586 | 9.8455  |
 
 
 ### Framework versions