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README.md
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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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- accuracy
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model-index:
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- name: stance_class_mod
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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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# stance_class_mod
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This model is a fine-tuned version of [vinai/bertweet-base](https://huggingface.co/vinai/bertweet-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5008
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- Accuracy: 0.8605
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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: 5e-05
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- train_batch_size: 30
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- eval_batch_size: 4
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.4898 | 1.0 | 13 | 0.4752 | 0.7752 |
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| 0.4441 | 2.0 | 26 | 0.4355 | 0.7674 |
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| 0.2363 | 3.0 | 39 | 0.5052 | 0.7984 |
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| 0.2897 | 4.0 | 52 | 0.4911 | 0.7442 |
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| 0.1451 | 5.0 | 65 | 0.3889 | 0.8295 |
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| 0.0377 | 6.0 | 78 | 0.3988 | 0.8295 |
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| 0.1236 | 7.0 | 91 | 0.4744 | 0.8605 |
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| 0.1927 | 8.0 | 104 | 0.4761 | 0.8527 |
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| 0.016 | 9.0 | 117 | 0.5158 | 0.8527 |
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| 0.0145 | 10.0 | 130 | 0.5008 | 0.8605 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.13.0+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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