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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: l-lectra-danish-finetuned-hatespeech
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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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# l-lectra-danish-finetuned-hatespeech
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This model is a fine-tuned version of [Maltehb/-l-ctra-danish-electra-small-uncased](https://huggingface.co/Maltehb/-l-ctra-danish-electra-small-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2608
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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: 8
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- eval_batch_size: 8
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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: 4.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 315 | 0.2561 |
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| 0.291 | 2.0 | 630 | 0.2491 |
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| 0.291 | 3.0 | 945 | 0.2434 |
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| 0.2089 | 4.0 | 1260 | 0.2608 |
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### Framework versions
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- Transformers 4.12.5
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- Pytorch 1.10.0+cu111
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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