Training complete

README.md

@@ -6,9 +6,24 @@ tags:
 - generated_from_trainer
 datasets:
 - opus100
+metrics:
+- bleu
 model-index:
 - name: marian-finetuned-opus100-en-to-ru
-  results: []
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: opus100
+      type: opus100
+      config: en-ru
+      split: train
+      args: en-ru
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 34.050525389820066
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,12 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ru](https://huggingface.co/Helsinki-NLP/opus-mt-en-ru) on the opus100 dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.6450
-- eval_bleu: 33.5411
-- eval_runtime: 173.5096
-- eval_samples_per_second: 57.634
-- eval_steps_per_second: 0.905
-- step: 0
+- Loss: 1.4597
+- Bleu: 34.0505
 
 ## Model description
 
@@ -51,6 +62,10 @@ The following hyperparameters were used during training:
 - num_epochs: 4
 - mixed_precision_training: Native AMP
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.36.2