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distilbert-finetuning-hate-speech-score-3000-samples-dropout005-epochs-10
dgalik/distilbert-finetuning-hate-speech-score-3000-samples-dropout005-epochs-10
distilbert-finetuning-hate-speech-score-3000-samples-dropout005-epochs-10 is a machine learning model from dgalik. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- May 4, 2023
- Updated
- May 4, 2023
- SHA
- 7e79e8e8
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilbert-finetuning-hate-speech-score-3000-samples-dropout005-epochs-10
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5491
- Mse: 1.5491
- Rmse: 1.2446
- Mae: 0.8043
- R2: 0.7225
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- distilbert
- Created
- May 4, 2023
- Updated
- May 4, 2023