Model save
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README.md
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---
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license: mit
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base_model: hyunwoongko/kobart
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tags:
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- generated_from_trainer
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model-index:
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- name: qa_kor_hospital_2
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# qa_kor_hospital_2
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This model is a fine-tuned version of [hyunwoongko/kobart](https://huggingface.co/hyunwoongko/kobart) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4155
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 400
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 0.1 | 100 | 3.9336 |
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| No log | 0.2 | 200 | 2.0259 |
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| No log | 0.31 | 300 | 1.7706 |
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| No log | 0.41 | 400 | 1.6725 |
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| 3.5011 | 0.51 | 500 | 1.6036 |
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| 3.5011 | 0.61 | 600 | 1.5641 |
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| 3.5011 | 0.71 | 700 | 1.5375 |
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| 3.5011 | 0.82 | 800 | 1.5182 |
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| 3.5011 | 0.92 | 900 | 1.5092 |
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| 1.5608 | 1.02 | 1000 | 1.4925 |
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| 1.5608 | 1.12 | 1100 | 1.4824 |
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| 1.5608 | 1.22 | 1200 | 1.4736 |
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| 1.5608 | 1.33 | 1300 | 1.4663 |
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| 1.5608 | 1.43 | 1400 | 1.4565 |
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| 1.4641 | 1.53 | 1500 | 1.4531 |
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| 1.4641 | 1.63 | 1600 | 1.4429 |
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| 1.4641 | 1.73 | 1700 | 1.4374 |
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| 1.4641 | 1.84 | 1800 | 1.4337 |
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| 1.4641 | 1.94 | 1900 | 1.4316 |
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| 1.4129 | 2.04 | 2000 | 1.4302 |
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| 1.4129 | 2.14 | 2100 | 1.4281 |
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| 1.4129 | 2.24 | 2200 | 1.4243 |
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| 1.4129 | 2.35 | 2300 | 1.4224 |
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| 1.4129 | 2.45 | 2400 | 1.4214 |
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| 1.3777 | 2.55 | 2500 | 1.4192 |
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| 1.3777 | 2.65 | 2600 | 1.4173 |
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| 1.3777 | 2.76 | 2700 | 1.4174 |
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| 1.3777 | 2.86 | 2800 | 1.4159 |
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| 1.3777 | 2.96 | 2900 | 1.4155 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"decoder_start_token_id": 1,
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"eos_token_id": 1,
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"forced_eos_token_id": 1,
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"pad_token_id": 3,
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"transformers_version": "4.38.2"
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}
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model.safetensors
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runs/Apr16_00-32-51_a5ac0e95e35a/events.out.tfevents.1713227596.a5ac0e95e35a.353.1
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size 14762
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