update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- bleu
 model-index:
 - name: opus-mt-es-en-finetuned-es-to-en
   results: []
@@ -13,6 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 # opus-mt-es-en-finetuned-es-to-en
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-en](https://huggingface.co/Helsinki-NLP/opus-mt-es-en) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5851
+- Bleu: 71.1382
+- Gen Len: 10.3225
 
 ## Model description
 
@@ -37,18 +43,22 @@ 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
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 1.0   | 5    | 0.5706          | 92.4876 | 8.4     |
+| No log        | 1.0   | 112  | 0.5693          | 71.7823 | 10.3676 |
+| No log        | 2.0   | 224  | 0.5744          | 69.5504 | 10.6739 |
+| No log        | 3.0   | 336  | 0.5784          | 71.6553 | 10.3117 |
+| No log        | 4.0   | 448  | 0.5826          | 71.0576 | 10.3261 |
+| 0.2666        | 5.0   | 560  | 0.5851          | 71.1382 | 10.3225 |
 
 
 ### Framework versions
 
-- Transformers 4.17.0
-- Pytorch 1.10.0+cu111
-- Datasets 2.0.0
+- Transformers 4.16.2
+- Pytorch 1.9.1
+- Datasets 1.18.4
 - Tokenizers 0.11.6