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guilbert-base-uncased-guilt-detection
mekjr1/guilbert-base-uncased-guilt-detection
guilbert-base-uncased-guilt-detection is a text classification model from mekjr1. 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
- Mar 9, 2023
- Updated
- Mar 10, 2023
- SHA
- b4ec6c56
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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. -->
guilbert-base-uncased-guilt-detection
This model is a fine-tuned version of mekjr1/guilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6689
- Accuracy: 0.7864
- F1: 0.7863
- Precision: 0.7865
- Recall: 0.7864
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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.447 | 1.0 | 2042 | 0.4435 | 0.7957 | 0.7957 | 0.7958 | 0.7957 |
| 0.3744 | 2.0 | 4084 | 0.4519 | 0.8002 | 0.8001 | 0.8006 | 0.8002 |
| 0.2506 | 3.0 | 6126 | 0.5618 | 0.7966 | 0.7964 | 0.7980 | 0.7966 |
| 0.1525 | 4.0 | 8168 | 0.6689 | 0.7864 | 0.7863 | 0.7865 | 0.7864 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 9, 2023
- Updated
- Mar 10, 2023