End of training

README.md

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+---
+license: cc-by-4.0
+base_model: paust/pko-t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: test_model
+  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. -->
+
+# test_model
+
+This model is a fine-tuned version of [paust/pko-t5-small](https://huggingface.co/paust/pko-t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4509
+- Rouge1: 0.1492
+- Rouge2: 0.0606
+- Rougel: 0.1463
+- Rougelsum: 0.1464
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| No log        | 1.0   | 495  | 1.5126          | 0.1308 | 0.0474 | 0.1283 | 0.1277    |
+| 1.9158        | 2.0   | 990  | 1.4509          | 0.1492 | 0.0606 | 0.1463 | 0.1464    |
+
+
+### Framework versions
+
+- Transformers 4.39.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.1"
+}

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