Model save
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README.md
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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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- eval_runtime: 1.195
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- eval_samples_per_second: 405.854
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- eval_steps_per_second: 25.941
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- epoch: 2.35
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- step: 2300
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## Model description
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- lr_scheduler_warmup_steps: 400
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- num_epochs: 3
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### Framework versions
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- Transformers 4.38.2
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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: 1.1627
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## Model description
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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 | 0.11 | 100 | 1.7331 |
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| No log | 0.21 | 200 | 1.4674 |
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| No log | 0.32 | 300 | 1.3987 |
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| No log | 0.42 | 400 | 1.3671 |
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| 2.0632 | 0.53 | 500 | 1.4153 |
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| 2.0632 | 0.63 | 600 | 1.3083 |
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| 2.0632 | 0.74 | 700 | 1.2721 |
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| 2.0632 | 0.85 | 800 | 1.2572 |
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| 2.0632 | 0.95 | 900 | 1.2314 |
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| 1.3262 | 1.06 | 1000 | 1.2468 |
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| 1.3262 | 1.16 | 1100 | 1.2230 |
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| 1.3262 | 1.27 | 1200 | 1.2158 |
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| 1.3262 | 1.37 | 1300 | 1.2019 |
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| 1.3262 | 1.48 | 1400 | 1.2011 |
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| 1.1014 | 1.59 | 1500 | 1.1909 |
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| 1.1014 | 1.69 | 1600 | 1.1768 |
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| 1.1014 | 1.8 | 1700 | 1.1648 |
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| 1.1014 | 1.9 | 1800 | 1.1608 |
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| 1.1014 | 2.01 | 1900 | 1.1736 |
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| 1.0434 | 2.11 | 2000 | 1.1865 |
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| 1.0434 | 2.22 | 2100 | 1.1853 |
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| 1.0434 | 2.33 | 2200 | 1.1890 |
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| 1.0434 | 2.43 | 2300 | 1.1765 |
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| 1.0434 | 2.54 | 2400 | 1.1696 |
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| 0.8701 | 2.64 | 2500 | 1.1720 |
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| 0.8701 | 2.75 | 2600 | 1.1611 |
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| 0.8701 | 2.85 | 2700 | 1.1641 |
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| 0.8701 | 2.96 | 2800 | 1.1627 |
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### Framework versions
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- Transformers 4.38.2
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model.safetensors
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runs/Apr16_01-07-12_a5ac0e95e35a/events.out.tfevents.1713229635.a5ac0e95e35a.353.5
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