Training complete

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Bleu
       type: bleu
-      value: 0.595255855695195
+      value: 11.221156031320554
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ko](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ko) on the kde4 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.9545
-- Bleu: 0.5953
+- Loss: 2.3106
+- Bleu: 11.2212
 
 ## Model description
 
@@ -59,7 +59,7 @@ 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: 3
 - mixed_precision_training: Native AMP
 
 ### Training results

runs/Aug28_11-47-06_1501e3145815/events.out.tfevents.1724846528.1501e3145815.1344.4

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runs/Aug28_11-47-06_1501e3145815/events.out.tfevents.1724848885.1501e3145815.1344.5

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