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roberta-hate-speech-dynabench-r4-target-tuned
gnurt2041/roberta-hate-speech-dynabench-r4-target-tuned
roberta-hate-speech-dynabench-r4-target-tuned is a text classification model from gnurt2041. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Oct 25, 2024
- Updated
- Oct 25, 2024
- SHA
- d5eaa5ad
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Base models
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. -->
results
This model is a fine-tuned version of facebook/roberta-hate-speech-dynabench-r4-target on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1543
- Accuracy: 0.975
- Precision: 0.9761
- Recall: 0.975
- F1: 0.9750
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: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4904 | 0.9895 | 59 | 0.3492 | 0.9 | 0.9015 | 0.9 | 0.8997 |
| 0.1344 | 1.9958 | 119 | 0.3267 | 0.9333 | 0.9374 | 0.9333 | 0.9330 |
| 0.0614 | 2.9853 | 178 | 0.2695 | 0.9333 | 0.9339 | 0.9333 | 0.9334 |
| 0.041 | 3.9916 | 238 | 0.2203 | 0.9583 | 0.9614 | 0.9583 | 0.9582 |
| 0.0674 | 4.9979 | 298 | 0.2079 | 0.9667 | 0.9687 | 0.9667 | 0.9666 |
| 0.0006 | 5.9874 | 357 | 0.1543 | 0.975 | 0.9761 | 0.975 | 0.9750 |
| 0.0004 | 6.9937 | 417 | 0.1883 | 0.975 | 0.9751 | 0.975 | 0.9750 |
| 0.0002 | 8.0 | 477 | 0.1628 | 0.9667 | 0.9667 | 0.9667 | 0.9667 |
| 0.0001 | 8.9895 | 536 | 0.2980 | 0.9667 | 0.9687 | 0.9667 | 0.9666 |
| 0.0001 | 9.8952 | 590 | 0.2377 | 0.975 | 0.9761 | 0.975 | 0.9750 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Oct 25, 2024
- Updated
- Oct 25, 2024