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update model card README.md
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README.md
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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: 1.7417
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- Accuracy: 0.534
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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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| 0.5807 | 1.0 | 532 | 0.7641 | 0.568 |
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| 0.5118 | 2.0 | 1064 | 0.7831 | 0.582 |
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| 0.464 | 3.0 | 1596 | 0.9762 | 0.558 |
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| 0.4283 | 4.0 | 2128 | 1.0450 | 0.536 |
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| 0.3755 | 5.0 | 2660 | 0.9795 | 0.54 |
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| 0.3476 | 6.0 | 3192 | 1.1473 | 0.544 |
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| 0.3288 | 7.0 | 3724 | 1.5338 | 0.532 |
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| 0.293 | 8.0 | 4256 | 1.4153 | 0.544 |
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| 0.2758 | 9.0 | 4788 | 1.6106 | 0.546 |
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| 0.2638 | 10.0 | 5320 | 1.7417 | 0.534 |
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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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