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--- |
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base_model: vinai/bertweet-base |
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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: bertweet-base-finetuned-hateful-meme |
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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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# bertweet-base-finetuned-hateful-meme |
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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: 1.6262 |
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- Accuracy: 0.532 |
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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: 2e-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: 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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| 0.5865 | 1.0 | 532 | 0.7576 | 0.564 | |
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| 0.5203 | 2.0 | 1064 | 0.8139 | 0.562 | |
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| 0.4746 | 3.0 | 1596 | 0.9082 | 0.566 | |
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| 0.4377 | 4.0 | 2128 | 1.0089 | 0.538 | |
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| 0.3858 | 5.0 | 2660 | 0.9339 | 0.558 | |
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| 0.3561 | 6.0 | 3192 | 1.0688 | 0.54 | |
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| 0.3292 | 7.0 | 3724 | 1.4158 | 0.532 | |
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| 0.3009 | 8.0 | 4256 | 1.3316 | 0.54 | |
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| 0.2831 | 9.0 | 4788 | 1.5418 | 0.532 | |
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| 0.269 | 10.0 | 5320 | 1.6262 | 0.532 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.3 |
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- Tokenizers 0.13.3 |
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