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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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datasets: |
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- klue |
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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: nli_roberta-large_lr1e-05_wd1e-03_ep3_ckpt |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: klue |
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type: klue |
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config: nli |
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split: validation |
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args: nli |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9026666666666666 |
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- name: F1 |
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type: f1 |
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value: 0.9025716877431428 |
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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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# nli_roberta-large_lr1e-05_wd1e-03_ep3_ckpt |
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This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the klue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3425 |
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- Accuracy: 0.9027 |
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- F1: 0.9026 |
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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: 64 |
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- eval_batch_size: 64 |
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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: 3 |
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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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| 0.5725 | 1.0 | 391 | 0.3381 | 0.8813 | 0.8811 | |
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| 0.2182 | 2.0 | 782 | 0.3055 | 0.898 | 0.8979 | |
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| 0.112 | 3.0 | 1173 | 0.3425 | 0.9027 | 0.9026 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.13.0 |
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- Tokenizers 0.13.3 |
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