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-lr2e-4
-  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: 9.12
 ---
 
 <!-- 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-lr2e-4
 
 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: 2.0115
+- Bleu: 9.12
+- Gen Len: 17.4026
 
 ## Model description
 
@@ -39,14 +56,18 @@ The following hyperparameters were used during training:
 - 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  | 2.1183          | 7.6314 | 17.4209 |
+| No log        | 1.0   | 188  | 2.0701          | 8.1225 | 17.4542 |
+| No log        | 2.0   | 376  | 2.0316          | 8.5741 | 17.4229 |
+| 2.2224        | 3.0   | 564  | 2.0229          | 8.9227 | 17.3703 |
+| 2.2224        | 4.0   | 752  | 2.0105          | 9.0764 | 17.4053 |
+| 2.2224        | 5.0   | 940  | 2.0115          | 9.12   | 17.4026 |
 
 
 ### Framework versions