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update model card 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-16-5
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+ results: []
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+ ---
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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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+
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+ # distilbert-base-uncased__hate_speech_offensive__train-16-5
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+
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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: 0.9907
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+ - Accuracy: 0.49
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.0941 | 1.0 | 10 | 1.1287 | 0.2 |
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+ | 1.0481 | 2.0 | 20 | 1.1136 | 0.2 |
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+ | 0.9498 | 3.0 | 30 | 1.1200 | 0.2 |
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+ | 0.8157 | 4.0 | 40 | 1.0771 | 0.2 |
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+ | 0.65 | 5.0 | 50 | 0.9733 | 0.4 |
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+ | 0.5021 | 6.0 | 60 | 1.0626 | 0.4 |
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+ | 0.3358 | 7.0 | 70 | 1.0787 | 0.4 |
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+ | 0.2017 | 8.0 | 80 | 1.3183 | 0.4 |
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+ | 0.088 | 9.0 | 90 | 1.2204 | 0.5 |
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+ | 0.0527 | 10.0 | 100 | 1.6892 | 0.4 |
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+ | 0.0337 | 11.0 | 110 | 1.6967 | 0.5 |
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+ | 0.0238 | 12.0 | 120 | 1.5436 | 0.5 |
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+ | 0.0183 | 13.0 | 130 | 1.7447 | 0.4 |
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+ | 0.0159 | 14.0 | 140 | 1.8999 | 0.4 |
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+ | 0.014 | 15.0 | 150 | 1.9004 | 0.4 |
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+
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+
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+ ### Framework versions
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+
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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