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--- |
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base_model: klue/roberta-base |
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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: roberta-base-finetuned-ynat |
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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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# roberta-base-finetuned-ynat |
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This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3938 |
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- F1: 0.8672 |
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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: 512 |
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- eval_batch_size: 512 |
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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: 200 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:| |
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| 0.3162 | 0.56 | 50 | 0.4069 | 0.8610 | |
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| 0.276 | 1.11 | 100 | 0.4176 | 0.8587 | |
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| 0.2706 | 1.67 | 150 | 0.4036 | 0.8631 | |
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| 0.2941 | 2.22 | 200 | 0.4232 | 0.8590 | |
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| 0.2778 | 2.78 | 250 | 0.3994 | 0.8623 | |
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| 0.2575 | 3.33 | 300 | 0.3979 | 0.8628 | |
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| 0.2389 | 3.89 | 350 | 0.4008 | 0.8652 | |
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| 0.2258 | 4.44 | 400 | 0.3950 | 0.8653 | |
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| 0.2097 | 5.0 | 450 | 0.3938 | 0.8672 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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