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README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: KoT5_news_summarization
+  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. -->
+
+# KoT5_news_summarization
+
+This model is a fine-tuned version of [lcw99/t5-base-korean-text-summary](https://huggingface.co/lcw99/t5-base-korean-text-summary) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3872
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.4513        | 1.0   | 2775  | 0.4067          |
+| 0.42          | 2.0   | 5550  | 0.3933          |
+| 0.395         | 3.0   | 8325  | 0.3864          |
+| 0.3771        | 4.0   | 11100 | 0.3872          |
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.6.1
+- Tokenizers 0.13.1