diff --git a/.gitattributes b/.gitattributes
index a6344aac8c09253b3b630fb776ae94478aa0275b..efddc446078b130c166da137097645ca4fac49b6 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
+checkpoint-174018/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-217522/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+checkpoint-87009/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+generated_predictions.txt filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text
diff --git a/README.md b/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..177e278f632267bed84d50fe7e523270db240949
--- /dev/null
+++ b/README.md
@@ -0,0 +1,74 @@
+---
+language:
+- ja
+- ko
+base_model: facebook/mbart-large-50-many-to-many-mmt
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: jako_mbartLarge_100p_run1
+ results: []
+---
+
+
+
+# jako_mbartLarge_100p_run1
+
+This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6815
+- Bleu: 57.9768
+- Gen Len: 17.2796
+
+## 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: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
+|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
+| 0.7241 | 1.0 | 43504 | 0.7178 | 56.112 | 17.3165 |
+| 0.5523 | 2.0 | 87009 | 0.6815 | 57.9768 | 17.2796 |
+| 0.4356 | 3.0 | 130513 | 0.7014 | 58.5493 | 17.1569 |
+| 0.3407 | 4.0 | 174018 | 0.7513 | 58.3826 | 17.1623 |
+| 0.2605 | 5.0 | 217522 | 0.8122 | 58.7238 | 17.0888 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0
diff --git a/all_results.json b/all_results.json
new file mode 100644
index 0000000000000000000000000000000000000000..81aa06e62953ea917a7f57997c2d9fecca108c36
--- /dev/null
+++ b/all_results.json
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+{
+ "epoch": 5.0,
+ "eval_bleu": 57.9768,
+ "eval_gen_len": 17.2796,
+ "eval_loss": 0.6814723610877991,
+ "eval_runtime": 7593.4193,
+ "eval_samples": 87008,
+ "eval_samples_per_second": 11.458,
+ "eval_steps_per_second": 1.432,
+ "predict_bleu": 58.0783,
+ "predict_gen_len": 17.2409,
+ "predict_loss": 0.6792132258415222,
+ "predict_runtime": 7605.1607,
+ "predict_samples": 87008,
+ "predict_samples_per_second": 11.441,
+ "predict_steps_per_second": 1.43,
+ "train_loss": 0.5236641572812728,
+ "train_runtime": 206817.4399,
+ "train_samples": 696070,
+ "train_samples_per_second": 50.484,
+ "train_steps_per_second": 3.155
+}
\ No newline at end of file
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+{
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+ "_num_labels": 3,
+ "activation_dropout": 0.0,
+ "activation_function": "relu",
+ "add_bias_logits": false,
+ "add_final_layer_norm": true,
+ "architectures": [
+ "MBartForConditionalGeneration"
+ ],
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+ "gradient_checkpointing": false,
+ "id2label": {
+ "0": "LABEL_0",
+ "1": "LABEL_1",
+ "2": "LABEL_2"
+ },
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+ },
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+ "max_position_embeddings": 1024,
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+ "output_past": true,
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+ "static_position_embeddings": false,
+ "tokenizer_class": "MBart50Tokenizer",
+ "torch_dtype": "float32",
+ "transformers_version": "4.35.2",
+ "use_cache": true,
+ "vocab_size": 250054
+}
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