Training complete

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 55.75350612247985
+      value: 56.051440475882075
 ---
 
 <!-- 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 was trained from scratch on the tatoeba dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5222
-- Model Preparation Time: 0.0033
-- Bleu: 55.7535
+- Loss: 0.5128
+- Model Preparation Time: 0.0032
+- Bleu: 56.0514
 
 ## Model description
 
@@ -66,9 +66,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Bleu    |
 |:-------------:|:-----:|:----:|:---------------:|:----------------------:|:-------:|
-| 0.4097        | 1.0   | 427  | 0.5222          | 0.0033                 | 55.7535 |
-| 0.3596        | 2.0   | 854  | 0.5267          | 0.0033                 | 55.7534 |
-| 0.3299        | 3.0   | 1281 | 0.5304          | 0.0033                 | 55.4986 |
+| 0.5958        | 1.0   | 427  | 0.5168          | 0.0032                 | 56.1356 |
+| 0.4699        | 2.0   | 854  | 0.5128          | 0.0032                 | 56.0514 |
+| 0.4118        | 3.0   | 1281 | 0.5130          | 0.0032                 | 56.6443 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:24242ff8fed5126491364dbf48d7b5db0e0e3c602dc5497a2f4d91690c2cc7f3
+oid sha256:dffd9107521b228e0f39bc7704a25d7f54537956111a77c9a27400591dd72a7d
 size 298765276