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update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: org_and_korquad
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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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# org_and_korquad
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This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Exact Match: 69.1667
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- F1: 77.4615
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- Loss: 1.8961
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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: 3e-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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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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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_ratio: 0.1
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- num_epochs: 10.0
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### Training results
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| Training Loss | Epoch | Step | Exact Match | F1 | Validation Loss |
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|:-------------:|:-----:|:----:|:-----------:|:-------:|:---------------:|
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| No log | 0.83 | 500 | 62.5 | 70.6430 | 0.9231 |
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| No log | 1.65 | 1000 | 66.25 | 75.8942 | 0.8221 |
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| No log | 2.48 | 1500 | 67.9167 | 76.0458 | 0.9581 |
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| No log | 3.31 | 2000 | 69.1667 | 77.5276 | 1.1324 |
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| No log | 4.14 | 2500 | 67.9167 | 76.8019 | 1.2806 |
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| No log | 4.97 | 3000 | 68.75 | 76.8566 | 1.3316 |
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| No log | 5.79 | 3500 | 66.25 | 74.1136 | 1.4468 |
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| No log | 6.62 | 4000 | 65.0 | 73.9254 | 1.5662 |
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| No log | 7.45 | 4500 | 67.9167 | 76.6298 | 1.5423 |
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| No log | 8.28 | 5000 | 67.5 | 75.6113 | 1.7773 |
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| No log | 9.11 | 5500 | 68.3333 | 76.5557 | 1.8478 |
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| No log | 9.93 | 6000 | 69.1667 | 77.4615 | 1.8961 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.13.0+cu117
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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