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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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- accuracy
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model-index:
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- name: korean_sentiment_analysis_dataset3
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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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# korean_sentiment_analysis_dataset3
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This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7614
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- Micro f1 score: 74.9024
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- Auprc: 75.3897
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- Accuracy: 0.7490
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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_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 | Validation Loss | Micro f1 score | Auprc | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------------:|:-------:|:--------:|
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| 0.8814 | 1.0 | 5080 | 0.7160 | 74.0798 | 78.1155 | 0.7408 |
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| 0.5153 | 2.0 | 10160 | 0.6638 | 76.1573 | 80.2492 | 0.7616 |
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| 0.6463 | 3.0 | 15240 | 0.6815 | 76.2897 | 80.6829 | 0.7629 |
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| 0.4697 | 4.0 | 20320 | 0.7243 | 76.0666 | 80.1682 | 0.7607 |
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| 0.2043 | 5.0 | 25400 | 0.9200 | 75.4810 | 79.2632 | 0.7548 |
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| 0.2452 | 6.0 | 30480 | 1.0875 | 74.9582 | 78.5166 | 0.7496 |
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| 0.1481 | 7.0 | 35560 | 1.3625 | 74.7769 | 76.5613 | 0.7478 |
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| 0.1974 | 8.0 | 40640 | 1.5593 | 75.0906 | 76.3100 | 0.7509 |
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| 0.1658 | 9.0 | 45720 | 1.6836 | 74.9651 | 75.6953 | 0.7497 |
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| 0.1392 | 10.0 | 50800 | 1.7614 | 74.9024 | 75.3897 | 0.7490 |
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### Framework versions
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- Transformers 4.25.1
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- Pytorch 1.6.0
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- Datasets 2.7.1
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- Tokenizers 0.13.2
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