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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_fold1
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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_fold1
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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: 0.1718
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- F1: 0.9816
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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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| 0.2154 | 1.0 | 500 | 0.0921 | 0.9763 |
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| 0.0689 | 2.0 | 1000 | 0.1517 | 0.9646 |
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| 0.0329 | 3.0 | 1500 | 0.0965 | 0.9821 |
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| 0.0102 | 4.0 | 2000 | 0.1161 | 0.9819 |
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| 0.0097 | 5.0 | 2500 | 0.1399 | 0.9784 |
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| 0.0028 | 6.0 | 3000 | 0.2075 | 0.9725 |
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| 0.006 | 7.0 | 3500 | 0.1767 | 0.9768 |
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| 0.0059 | 8.0 | 4000 | 0.1750 | 0.9775 |
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| 0.0001 | 9.0 | 4500 | 0.2467 | 0.9724 |
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| 0.0073 | 10.0 | 5000 | 0.1923 | 0.9754 |
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| 0.0026 | 11.0 | 5500 | 0.1645 | 0.9790 |
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| 0.002 | 12.0 | 6000 | 0.1862 | 0.9801 |
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| 0.0008 | 13.0 | 6500 | 0.1643 | 0.98 |
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| 0.0 | 14.0 | 7000 | 0.1708 | 0.9816 |
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| 0.0 | 15.0 | 7500 | 0.1718 | 0.9816 |
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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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