End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 8.362
+      value: 13.8765
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 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 opus_books dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5879
-- Bleu: 8.362
-- Gen Len: 45.952
+- Loss: 1.9803
+- Bleu: 13.8765
+- Gen Len: 45.316
 
 ## Model description
 
@@ -59,13 +59,17 @@ 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 |
-|:-------------:|:-----:|:----:|:---------------:|:-----:|:-------:|
-| 2.773         | 1.0   | 4674 | 2.5879          | 8.362 | 45.952  |
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 2.5745        | 1.0   | 4674  | 2.3717          | 10.1245 | 46.0135 |
+| 2.2901        | 2.0   | 9348  | 2.1461          | 12.2345 | 45.3126 |
+| 2.1356        | 3.0   | 14022 | 2.0491          | 13.1754 | 45.496  |
+| 2.0507        | 4.0   | 18696 | 1.9967          | 13.689  | 45.3156 |
+| 2.0222        | 5.0   | 23370 | 1.9803          | 13.8765 | 45.316  |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:a63dbb04ecd665eaeb156ac9f4bc87071098bb51169b2d6a424cfdb096c21885
 size 310022533