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boss-toxicity-12000-bert-base-uncased
Kyle1668/boss-toxicity-12000-bert-base-uncased
boss-toxicity-12000-bert-base-uncased is a text classification model from Kyle1668. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 7, 2023
- Updated
- Nov 7, 2023
- SHA
- 8c3754bc
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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. -->
boss-toxicity-12000-bert-base-uncased
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- F1: 0.6566
- Acc: 0.8020
- Loss: 1.1220
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | F1 | Acc | Validation Loss |
|---|---|---|---|---|---|
| 0.5963 | 1.0 | 750 | 0.7051 | 0.8547 | 0.3709 |
| 0.2873 | 2.0 | 1500 | 0.7428 | 0.8860 | 0.2969 |
| 0.206 | 3.0 | 2250 | 0.7121 | 0.8594 | 0.4031 |
| 0.1319 | 4.0 | 3000 | 0.7368 | 0.8832 | 0.4616 |
| 0.0751 | 5.0 | 3750 | 0.6566 | 0.8020 | 1.1220 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 7, 2023
- Updated
- Nov 7, 2023