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my-clf22
krittapas/my-clf22
my-clf22 is a text classification model from krittapas. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Mar 11, 2024
- Updated
- Mar 11, 2024
- SHA
- 992381ea
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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. -->
my-clf22
This model is a fine-tuned version of avsolatorio/GIST-large-Embedding-v0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0496
- F1: 0.9557
- Roc Auc: 0.9752
- Accuracy: 0.8364
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 13
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 200 | 0.2353 | 0.2902 | 0.6136 | 0.0455 |
| No log | 2.0 | 400 | 0.1819 | 0.6613 | 0.8093 | 0.3182 |
| 0.2288 | 3.0 | 600 | 0.1185 | 0.7709 | 0.8520 | 0.4636 |
| 0.2288 | 4.0 | 800 | 0.0881 | 0.9505 | 0.9732 | 0.7545 |
| 0.0775 | 5.0 | 1000 | 0.0701 | 0.9504 | 0.9701 | 0.8091 |
| 0.0775 | 6.0 | 1200 | 0.0623 | 0.9557 | 0.9752 | 0.8364 |
| 0.0775 | 7.0 | 1400 | 0.0557 | 0.9557 | 0.9752 | 0.8364 |
| 0.0276 | 8.0 | 1600 | 0.0516 | 0.9557 | 0.9752 | 0.8364 |
| 0.0276 | 9.0 | 1800 | 0.0516 | 0.9570 | 0.9760 | 0.8545 |
| 0.0172 | 10.0 | 2000 | 0.0505 | 0.9570 | 0.9760 | 0.8545 |
| 0.0172 | 11.0 | 2200 | 0.0507 | 0.9557 | 0.9752 | 0.8364 |
| 0.0172 | 12.0 | 2400 | 0.0499 | 0.9557 | 0.9752 | 0.8364 |
| 0.0137 | 13.0 | 2600 | 0.0496 | 0.9557 | 0.9752 | 0.8364 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Mar 11, 2024
- Updated
- Mar 11, 2024