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prot_bert-fine-tuned-toxicity_2.1
Niki548/prot_bert-fine-tuned-toxicity_2.1
prot_bert-fine-tuned-toxicity_2.1 is a text classification model from Niki548. 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
- bert
- Access
- Public
- Created
- Jun 21, 2024
- Updated
- Jun 21, 2024
- SHA
- c8794e69
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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. -->
prot_bert-fine-tuned-toxicity_2.1
This model is a fine-tuned version of Rostlab/prot_bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6960
- Accuracy: 0.5484
- Precision: 0.3007
- Recall: 0.5484
- F1: 0.3884
All params of Protbert were freezed.
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.6963 | 1.0 | 16 | 0.7071 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.7041 | 2.0 | 32 | 0.7012 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.6946 | 3.0 | 48 | 0.7030 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.692 | 4.0 | 64 | 0.6939 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.6951 | 5.0 | 80 | 0.6929 | 0.4516 | 0.2040 | 0.4516 | 0.2810 |
| 0.6939 | 6.0 | 96 | 0.6969 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.6927 | 7.0 | 112 | 0.6944 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
| 0.6911 | 8.0 | 128 | 0.6960 | 0.5484 | 0.3007 | 0.5484 | 0.3884 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Jun 21, 2024
- Updated
- Jun 21, 2024