End of training
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README.md
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---
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base_model: klue/roberta-large
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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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- f1
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model-index:
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- name: mango-16-0.00002-10-fin
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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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# mango-16-0.00002-10-fin
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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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- Loss: 3.0500
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- Accuracy: 0.6357
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- F1: 0.6333
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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: 2e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 466 | 2.1468 | 0.6171 | 0.6168 |
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| 0.13 | 2.0 | 932 | 2.2649 | 0.6268 | 0.6204 |
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| 0.137 | 3.0 | 1398 | 2.1698 | 0.6254 | 0.6221 |
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| 0.1215 | 4.0 | 1864 | 2.1453 | 0.6265 | 0.6262 |
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| 0.1048 | 5.0 | 2330 | 2.4639 | 0.6205 | 0.6214 |
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| 0.0745 | 6.0 | 2796 | 2.7197 | 0.6341 | 0.6267 |
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| 0.0524 | 7.0 | 3262 | 2.8052 | 0.6317 | 0.6283 |
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| 0.0271 | 8.0 | 3728 | 2.9613 | 0.6297 | 0.6260 |
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| 0.0146 | 9.0 | 4194 | 3.0469 | 0.6292 | 0.6282 |
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| 0.0099 | 10.0 | 4660 | 3.0500 | 0.6357 | 0.6333 |
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### Framework versions
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- Transformers 4.34.1
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- Pytorch 2.1.0a0+b5021ba
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- Datasets 2.6.2
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- Tokenizers 0.14.1
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