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: 62.9394
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -20,11 +14,7 @@ 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 [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unkown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.5724
-- Bleu: 62.9394
-- Gen Len: 16.3066
+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.
 
 ## Model description
 
@@ -44,8 +34,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0002
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -54,9 +44,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 0.6403        | 1.0   | 493  | 0.5724          | 62.9394 | 16.3066 |
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 247  | 0.5317          | 67.793 | 16.3208 |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "Helsinki-NLP/opus-mt-ja-en",
+  "_name_or_path": "Edomonndo/opus-mt-ja-en-finetuned-ja-to-en_test",
   "_num_labels": 3,
   "activation_dropout": 0.0,
   "activation_function": "swish",

pytorch_model.bin

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training_args.bin

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