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update model card README.md
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README.md
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---
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license: apache-2.0
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base_model: bert-base-uncased
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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: bert-base-uncased-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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# bert-base-uncased-finetuned-hateful-meme
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0538
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- Accuracy: 0.544
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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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| 0.5795 | 1.0 | 532 | 0.7869 | 0.564 |
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| 0.5101 | 2.0 | 1064 | 0.8646 | 0.56 |
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| 0.4455 | 3.0 | 1596 | 0.9011 | 0.538 |
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| 0.3926 | 4.0 | 2128 | 1.1856 | 0.542 |
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| 0.3387 | 5.0 | 2660 | 1.1351 | 0.552 |
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| 0.3056 | 6.0 | 3192 | 1.3704 | 0.55 |
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| 0.2942 | 7.0 | 3724 | 1.7288 | 0.538 |
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| 0.2665 | 8.0 | 4256 | 1.7215 | 0.544 |
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| 0.2498 | 9.0 | 4788 | 1.8634 | 0.542 |
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| 0.2357 | 10.0 | 5320 | 2.0538 | 0.544 |
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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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