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: 25.6283
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,14 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the opus_books dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.4408
-- eval_bleu: 26.022
-- eval_gen_len: 33.4854
-- eval_runtime: 2692.7929
-- eval_samples_per_second: 9.439
-- eval_steps_per_second: 0.295
-- epoch: 1.0
-- step: 3178
+- Loss: 0.4232
+- Bleu: 25.6283
+- Gen Len: 33.8077
 
 ## Model description
 
@@ -50,7 +60,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 15
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.4627        | 1.0   | 2542 | 0.4327          | 25.2902 | 33.8224 |
+| 0.4294        | 2.0   | 5084 | 0.4232          | 25.6283 | 33.8077 |
+
 
 ### Framework versions