update model card README.md

README.md

@@ -4,9 +4,22 @@ tags:
 - generated_from_trainer
 datasets:
 - wmt14
+metrics:
+- bleu
 model-index:
 - name: t5-small-finetuned-de-en-wd-01
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: wmt14
+      type: wmt14
+      args: de-en
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 9.6027
 ---
 
 <!-- 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. -->
 # t5-small-finetuned-de-en-wd-01
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt14 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0482
+- Bleu: 9.6027
+- Gen Len: 17.3776
 
 ## Model description
 
@@ -33,20 +50,24 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0002
 - 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: 5
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| No log        | 1.0   | 188  | 2.1197          | 7.6864 | 17.4416 |
+| No log        | 1.0   | 188  | 2.0502          | 9.3675 | 17.3983 |
+| No log        | 2.0   | 376  | 2.0590          | 9.4393 | 17.3869 |
+| 1.6509        | 3.0   | 564  | 2.0639          | 9.3886 | 17.3806 |
+| 1.6509        | 4.0   | 752  | 2.0498          | 9.5802 | 17.3846 |
+| 1.6509        | 5.0   | 940  | 2.0482          | 9.6027 | 17.3776 |
 
 
 ### Framework versions