add model

README.md

@@ -1,18 +1,12 @@
 ---
 tags:
 - generated_from_trainer
-metrics:
-- bleu
 model_index:
 - name: opus-mt-ja-en-finetuned-ja-to-en_test
   results:
   - task:
       name: Sequence-to-sequence Language Modeling
       type: text2text-generation
-    metric:
-      name: Bleu
-      type: bleu
-      value: 27.3816
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -21,10 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # opus-mt-ja-en-finetuned-ja-to-en_test
 
 This model is a fine-tuned version of [Edomonndo/opus-mt-ja-en-finetuned-ja-to-en_test](https://huggingface.co/Edomonndo/opus-mt-ja-en-finetuned-ja-to-en_test) on an unkown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 3.1649
-- Bleu: 27.3816
-- Gen Len: 11.2584
 
 ## Model description
 
@@ -49,16 +39,14 @@ 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: 3
+- num_epochs: 1
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| No log        | 1.0   | 20   | 3.2689          | 24.1516 | 11.3483 |
-| No log        | 2.0   | 40   | 3.1899          | 26.5309 | 10.618  |
-| No log        | 3.0   | 60   | 3.1649          | 27.3816 | 11.2584 |
+| No log        | 1.0   | 20   | 3.2331          | 26.2316 | 11.0674 |
 
 
 ### Framework versions

pytorch_model.bin

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training_args.bin

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