FinalProject_1218/opus-mt-ko-en

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ko-en](https://huggingface.co/Helsinki-NLP/opus-mt-ko-en) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7378
-- Bleu: 41.6212
-- Gen Len: 10.3771
+- Loss: 0.8565
+- Bleu: 44.4086
+- Gen Len: 11.543
 
 ## Model description
 
@@ -40,21 +40,16 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
-| 0.8027        | 1.0   | 16549 | 0.8758          | 36.6942 | 10.397  |
-| 0.6598        | 2.0   | 33098 | 0.7735          | 40.1498 | 10.369  |
-| 0.6019        | 3.0   | 49647 | 0.7378          | 41.6212 | 10.3771 |
 
 
 ### Framework versions

runs/Dec18_10-41-56_a0b19801e9d5/events.out.tfevents.1702897974.a0b19801e9d5.3244.4

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