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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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- f1 |
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model-index: |
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- name: twiiter_try15_fold3 |
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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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# twiiter_try15_fold3 |
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This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1796 |
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- F1: 0.9805 |
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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: 3e-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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- num_epochs: 15 |
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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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| 0.2022 | 1.0 | 500 | 0.1547 | 0.9636 | |
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| 0.0612 | 2.0 | 1000 | 0.2014 | 0.9660 | |
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| 0.0211 | 3.0 | 1500 | 0.1204 | 0.9776 | |
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| 0.0107 | 4.0 | 2000 | 0.1797 | 0.9745 | |
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| 0.0073 | 5.0 | 2500 | 0.1931 | 0.9752 | |
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| 0.0128 | 6.0 | 3000 | 0.1808 | 0.9741 | |
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| 0.0088 | 7.0 | 3500 | 0.1756 | 0.9750 | |
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| 0.0088 | 8.0 | 4000 | 0.1726 | 0.9781 | |
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| 0.0012 | 9.0 | 4500 | 0.1707 | 0.9785 | |
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| 0.0004 | 10.0 | 5000 | 0.1794 | 0.9780 | |
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| 0.0031 | 11.0 | 5500 | 0.2156 | 0.9743 | |
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| 0.0012 | 12.0 | 6000 | 0.2106 | 0.9741 | |
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| 0.0 | 13.0 | 6500 | 0.1925 | 0.9796 | |
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| 0.0 | 14.0 | 7000 | 0.1903 | 0.9789 | |
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| 0.0008 | 15.0 | 7500 | 0.1796 | 0.9805 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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