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metadata-cls-gemini
gechim/metadata-cls-gemini
metadata-cls-gemini is a text classification model from gechim. 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
- roberta
- Access
- Public
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024
- SHA
- 696a5611
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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. -->
metadata-cls-gemini
This model is a fine-tuned version of vinai/phobert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0111
- Accuracy: 0.8183
- F1: 0.7722
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9411 | 1.6949 | 200 | 0.5887 | 0.8002 | 0.6394 |
| 0.4312 | 3.3898 | 400 | 0.5675 | 0.8097 | 0.7790 |
| 0.2745 | 5.0847 | 600 | 0.5685 | 0.8164 | 0.7767 |
| 0.2199 | 6.7797 | 800 | 0.6602 | 0.8116 | 0.7998 |
| 0.1536 | 8.4746 | 1000 | 0.8254 | 0.8069 | 0.7707 |
| 0.1021 | 10.1695 | 1200 | 0.8674 | 0.8097 | 0.7889 |
| 0.0928 | 11.8644 | 1400 | 0.8696 | 0.8145 | 0.7789 |
| 0.0692 | 13.5593 | 1600 | 0.9211 | 0.8259 | 0.7926 |
| 0.049 | 15.2542 | 1800 | 0.9573 | 0.8221 | 0.7899 |
| 0.0391 | 16.9492 | 2000 | 1.0388 | 0.8154 | 0.7713 |
| 0.0372 | 18.6441 | 2200 | 1.0111 | 0.8183 | 0.7722 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jul 19, 2024
- Updated
- Jul 19, 2024