Create README.md

README.md

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+---
+language:
+- ko
+- en
+tags:
+- generated_from_trainer
+datasets:
+- >-
+  KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
+metrics:
+- bleu
+model-index:
+- name: ko2en_bidirection2
+  results:
+  - task:
+      name: Translation
+      type: translation
+    dataset:
+      name: >-
+        KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
+        koen,none,none,none,none
+      type: >-
+        KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation
+      args: koen,none,none,none,none
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 51.5949
+license: apache-2.0
+pipeline_tag: translation
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# ko2en_bidirection2
+
+This model is a fine-tuned version of [KETI-AIR/long-ke-t5-base](https://huggingface.co/KETI-AIR/long-ke-t5-base) on the KETI-AIR/aihub_koenzh_food_translation,KETI-AIR/aihub_scitech_translation,KETI-AIR/aihub_scitech20_translation,KETI-AIR/aihub_socialtech20_translation,KETI-AIR/aihub_spoken_language_translation koen,none,none,none,none dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5716
+- Bleu: 51.5949
+- Gen Len: 28.8348
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
+| 0.7004        | 1.0   | 187524 | 0.6461          | 28.0622 | 17.8368 |
+| 0.6176        | 2.0   | 375048 | 0.5967          | 29.3033 | 17.8281 |
+| 0.5642        | 3.0   | 562572 | 0.5716          | 30.0045 | 17.8366 |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.12.0
+- Datasets 2.8.0
+- Tokenizers 0.13.2