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--- |
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license: apache-2.0 |
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base_model: distilbert-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: distilbert-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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# distilbert-base-uncased-finetuned-hateful-meme |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8740 |
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- Accuracy: 0.542 |
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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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| 0.5786 | 1.0 | 532 | 0.7902 | 0.56 | |
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| 0.5077 | 2.0 | 1064 | 0.8275 | 0.566 | |
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| 0.4534 | 3.0 | 1596 | 0.9469 | 0.544 | |
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| 0.3998 | 4.0 | 2128 | 1.1139 | 0.538 | |
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| 0.3527 | 5.0 | 2660 | 1.2128 | 0.542 | |
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| 0.3219 | 6.0 | 3192 | 1.2232 | 0.546 | |
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| 0.3051 | 7.0 | 3724 | 1.5492 | 0.538 | |
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| 0.2789 | 8.0 | 4256 | 1.6341 | 0.542 | |
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| 0.267 | 9.0 | 4788 | 1.7046 | 0.54 | |
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| 0.2521 | 10.0 | 5320 | 1.8740 | 0.542 | |
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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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