update model card README.md

README.md

@@ -4,24 +4,9 @@ tags:
 - generated_from_trainer
 datasets:
 - opus100
-metrics:
-- bleu
 model-index:
 - name: MachineTranslation
-  results:
-  - task:
-      name: Sequence-to-sequence Language Modeling
-      type: text2text-generation
-    dataset:
-      name: opus100
-      type: opus100
-      config: en-ta
-      split: test
-      args: en-ta
-    metrics:
-    - name: Bleu
-      type: bleu
-      value: 14.1043
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # MachineTranslation
 
 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: 2.2734
-- Bleu: 14.1043
-- Gen Len: 11.8405
 
 ## Model description
 
@@ -60,14 +41,13 @@ The following hyperparameters were used during training:
 - total_train_batch_size: 768
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 1.0   | 295  | 2.3233          | 13.2366 | 12.295  |
-| 2.6303        | 2.0   | 590  | 2.2734          | 14.1043 | 11.8405 |
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 295  | 2.2160          | 15.007 | 11.698  |
 
 
 ### Framework versions