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README.md
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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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model-index:
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- name: distilbert-base-uncased__hate_speech_offensive__train-16-9
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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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# distilbert-base-uncased__hate_speech_offensive__train-16-9
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1121
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- Accuracy: 0.16
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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: 4
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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: 50
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- mixed_precision_training: Native AMP
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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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| 1.1038 | 1.0 | 10 | 1.1243 | 0.1 |
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| 1.0859 | 2.0 | 20 | 1.1182 | 0.2 |
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| 1.0234 | 3.0 | 30 | 1.1442 | 0.3 |
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| 0.9493 | 4.0 | 40 | 1.2239 | 0.1 |
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| 0.8114 | 5.0 | 50 | 1.2023 | 0.4 |
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| 0.6464 | 6.0 | 60 | 1.2329 | 0.4 |
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| 0.4731 | 7.0 | 70 | 1.2971 | 0.5 |
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| 0.3355 | 8.0 | 80 | 1.3913 | 0.4 |
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| 0.1268 | 9.0 | 90 | 1.4670 | 0.5 |
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| 0.0747 | 10.0 | 100 | 1.7961 | 0.4 |
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| 0.0449 | 11.0 | 110 | 1.8168 | 0.5 |
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| 0.0307 | 12.0 | 120 | 1.9307 | 0.4 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.2+cu102
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- Datasets 1.18.2
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- Tokenizers 0.10.3
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