update model card README.md

README.md

@@ -4,9 +4,22 @@ tags:
 - generated_from_trainer
 datasets:
 - news_commentary
+metrics:
+- bleu
 model-index:
 - name: opus-mt-ar-en-finetuned-ar-to-en
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: news_commentary
+      type: news_commentary
+      args: ar-en
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 0.0756
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +28,10 @@ should probably proofread and complete it, then remove this comment. -->
 # opus-mt-ar-en-finetuned-ar-to-en
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ar-en](https://huggingface.co/Helsinki-NLP/opus-mt-ar-en) on the news_commentary dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2173
+- Bleu: 0.0756
+- Gen Len: 330.32
 
 ## Model description
 
@@ -33,19 +50,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.001
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 1.0   | 4    | 7.0798          | 35.1352 | 56.92   |
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 4    | 5.5459          | 0.1405 | 511.0   |
+| No log        | 2.0   | 8    | 3.8021          | 0.0206 | 511.0   |
+| No log        | 3.0   | 12   | 3.2173          | 0.0756 | 330.32  |
 
 
 ### Framework versions