Training complete

README.md

@@ -0,0 +1,61 @@
+---
+library_name: transformers
+license: cc-by-4.0
+base_model: Helsinki-NLP/opus-mt-tc-big-en-ko
+tags:
+- tanslation
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: finetuned-aihub-en-to-ko
+  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. -->
+
+# finetuned-aihub-en-to-ko
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-en-ko](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-ko) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.2507
+- Model Preparation Time: 0.004
+- Bleu: 17.5666
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,16 @@
+{
+  "bad_words_ids": [
+    [
+      32000
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 32000,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 32000,
+  "renormalize_logits": true,
+  "transformers_version": "4.44.2"
+}