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---
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license: apache-2.0
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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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- precision
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- recall
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- f1
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model-index:
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- name: bert-base-cased-sentweet-derogatory
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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-cased-sentweet-derogatory
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9154
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- Accuracy: 0.8056
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- Precision: 0.8051
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- Recall: 0.8036
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- F1: 0.8042
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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: 32
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- eval_batch_size: 32
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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: 6
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 1.0 | 81 | 0.4357 | 0.8160 | 0.8194 | 0.8197 | 0.8160 |
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| No log | 2.0 | 162 | 0.4131 | 0.7986 | 0.7998 | 0.8010 | 0.7985 |
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| No log | 3.0 | 243 | 0.5515 | 0.7812 | 0.7838 | 0.7766 | 0.7780 |
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| No log | 4.0 | 324 | 0.6149 | 0.75 | 0.7549 | 0.7435 | 0.7446 |
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| No log | 5.0 | 405 | 0.7479 | 0.8125 | 0.8130 | 0.8145 | 0.8124 |
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| No log | 6.0 | 486 | 0.9154 | 0.8056 | 0.8051 | 0.8036 | 0.8042 |
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### Framework versions
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- Transformers 4.24.0
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- Pytorch 1.13.1+cu117
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- Datasets 2.6.1
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- Tokenizers 0.11.0
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