End of training

README.md

@@ -8,7 +8,7 @@ datasets:
 metrics:
 - bleu
 model-index:
-- name: my_awesome_opus_books_model
+- name: translation
   results:
   - task:
       name: Sequence-to-sequence Language Modeling
@@ -22,19 +22,19 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 5.651
+      value: 5.6441
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# my_awesome_opus_books_model
+# translation
 
 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: 1.6050
-- Bleu: 5.651
-- Gen Len: 17.595
+- Loss: 1.6122
+- Bleu: 5.6441
+- Gen Len: 17.5838
 
 ## Model description
 
@@ -65,8 +65,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
-| 1.8434        | 1.0   | 6355  | 1.6296          | 5.4901 | 17.6068 |
-| 1.8172        | 2.0   | 12710 | 1.6050          | 5.651  | 17.595  |
+| 1.8593        | 1.0   | 6355  | 1.6362          | 5.4979 | 17.59   |
+| 1.8198        | 2.0   | 12710 | 1.6122          | 5.6441 | 17.5838 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:651ade9507970bea6b6203ed9068753dab2e3c037d2ede10541643992de1e7ff
+oid sha256:31d1dccecb578c829995710489976fb242fd34807b6fb7b63a0b3ef3465f793b
 size 242071641