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Benign10MGPT2_fromB_BFall_10KGen_toP_0.75
AustinCarthy/Benign10MGPT2_fromB_BFall_10KGen_toP_0.75
Benign10MGPT2_fromB_BFall_10KGen_toP_0.75 is a text classification model from AustinCarthy. 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
- May 17, 2023
- Updated
- May 17, 2023
- SHA
- adae66dd
Try a prompt
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. -->
Benign10MGPT2_fromB_BFall_10KGen_toP_0.75
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0932
- Accuracy: 0.9863
- F1: 0.8426
- Precision: 0.9285
- Recall: 0.7712
- Roc Auc Score: 0.8841
- Tpr At Fpr 0.01: 0.0
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Roc Auc Score | Tpr At Fpr 0.01 |
|---|---|---|---|---|---|---|---|---|---|
| 0.0731 | 1.0 | 13125 | 0.0701 | 0.9834 | 0.8069 | 0.9013 | 0.7304 | 0.8632 | 0.5672 |
| 0.0595 | 2.0 | 26250 | 0.0720 | 0.9812 | 0.7700 | 0.9192 | 0.6624 | 0.8297 | 0.5038 |
| 0.0457 | 3.0 | 39375 | 0.0667 | 0.9864 | 0.8459 | 0.9193 | 0.7834 | 0.8900 | 0.0 |
| 0.0301 | 4.0 | 52500 | 0.0803 | 0.9861 | 0.8368 | 0.9467 | 0.7498 | 0.8738 | 0.0 |
| 0.02 | 5.0 | 65625 | 0.0932 | 0.9863 | 0.8426 | 0.9285 | 0.7712 | 0.8841 | 0.0 |
Framework versions
- Transformers 4.29.1
- Pytorch 1.9.0+cu111
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 17, 2023
- Updated
- May 17, 2023