update model card README.md

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - opus_books
+metrics:
+- bleu
 model-index:
 - name: my_awesome_opus_books_model
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: opus_books
+      type: opus_books
+      config: en-fr
+      split: train
+      args: en-fr
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 5.4949
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 # my_awesome_opus_books_model
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus_books dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6367
+- Bleu: 5.4949
+- Gen Len: 17.6014
 
 ## Model description
 
@@ -35,13 +54,21 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 2
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| 1.8908        | 1.0   | 3178 | 1.6597          | 5.3117 | 17.6181 |
+| 1.8545        | 2.0   | 6356 | 1.6367          | 5.4949 | 17.6014 |
+
+
 ### Framework versions
 
 - Transformers 4.31.0