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: pogny_5_128_0.01
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/bella05/huggingface/runs/aozqa32o)
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# pogny_5_128_0.01
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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: 1.6856
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- Accuracy: 0.4376
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- F1: 0.2665
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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: 0.01
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- train_batch_size: 128
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- eval_batch_size: 128
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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: 5
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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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| 2.3955 | 1.0 | 603 | 1.8993 | 0.4376 | 0.2665 |
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| 2.1177 | 2.0 | 1206 | 2.1650 | 0.4376 | 0.2665 |
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| 2.0063 | 3.0 | 1809 | 2.1854 | 0.4376 | 0.2665 |
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| 1.8805 | 4.0 | 2412 | 1.8213 | 0.4376 | 0.2665 |
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| 1.7214 | 5.0 | 3015 | 1.6856 | 0.4376 | 0.2665 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 2.2.2
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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