Model save

README.md

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+---
+license: mit
+base_model: hyunwoongko/kobart
+tags:
+- generated_from_trainer
+model-index:
+- name: qa_kor_hospital_2
+  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. -->
+
+# qa_kor_hospital_2
+
+This model is a fine-tuned version of [hyunwoongko/kobart](https://huggingface.co/hyunwoongko/kobart) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4155
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 400
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 0.1   | 100  | 3.9336          |
+| No log        | 0.2   | 200  | 2.0259          |
+| No log        | 0.31  | 300  | 1.7706          |
+| No log        | 0.41  | 400  | 1.6725          |
+| 3.5011        | 0.51  | 500  | 1.6036          |
+| 3.5011        | 0.61  | 600  | 1.5641          |
+| 3.5011        | 0.71  | 700  | 1.5375          |
+| 3.5011        | 0.82  | 800  | 1.5182          |
+| 3.5011        | 0.92  | 900  | 1.5092          |
+| 1.5608        | 1.02  | 1000 | 1.4925          |
+| 1.5608        | 1.12  | 1100 | 1.4824          |
+| 1.5608        | 1.22  | 1200 | 1.4736          |
+| 1.5608        | 1.33  | 1300 | 1.4663          |
+| 1.5608        | 1.43  | 1400 | 1.4565          |
+| 1.4641        | 1.53  | 1500 | 1.4531          |
+| 1.4641        | 1.63  | 1600 | 1.4429          |
+| 1.4641        | 1.73  | 1700 | 1.4374          |
+| 1.4641        | 1.84  | 1800 | 1.4337          |
+| 1.4641        | 1.94  | 1900 | 1.4316          |
+| 1.4129        | 2.04  | 2000 | 1.4302          |
+| 1.4129        | 2.14  | 2100 | 1.4281          |
+| 1.4129        | 2.24  | 2200 | 1.4243          |
+| 1.4129        | 2.35  | 2300 | 1.4224          |
+| 1.4129        | 2.45  | 2400 | 1.4214          |
+| 1.3777        | 2.55  | 2500 | 1.4192          |
+| 1.3777        | 2.65  | 2600 | 1.4173          |
+| 1.3777        | 2.76  | 2700 | 1.4174          |
+| 1.3777        | 2.86  | 2800 | 1.4159          |
+| 1.3777        | 2.96  | 2900 | 1.4155          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "decoder_start_token_id": 1,
+  "eos_token_id": 1,
+  "forced_eos_token_id": 1,
+  "pad_token_id": 3,
+  "transformers_version": "4.38.2"
+}

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