Training complete

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: didiudom94/marian-finetuned-ko-to-en
+tags:
+- translation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: marian-finetuned-ko-to-en2
+  results: []
+---
+
+<!-- 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. -->
+
+# marian-finetuned-ko-to-en2
+
+This model is a fine-tuned version of [didiudom94/marian-finetuned-ko-to-en](https://huggingface.co/didiudom94/marian-finetuned-ko-to-en) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6112
+- Model Preparation Time: 0.0033
+- Bleu: 54.8901
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      65000
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 65000,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 6,
+  "pad_token_id": 65000,
+  "renormalize_logits": true,
+  "transformers_version": "4.47.1"
+}

runs/Jan23_21-35-45_642cbb38dc8d/events.out.tfevents.1737668176.642cbb38dc8d.709.2

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