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metadata-cls-no-gov-8k
gechim/metadata-cls-no-gov-8k
metadata-cls-no-gov-8k 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 22, 2024
- Updated
- Jul 22, 2024
- SHA
- e35ec9c6
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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-no-gov-8k
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: 0.3385
- Accuracy: 0.9481
- F1: 0.8232
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 |
|---|---|---|---|---|---|
| 0.553 | 1.6129 | 200 | 0.2901 | 0.9226 | 0.6952 |
| 0.17 | 3.2258 | 400 | 0.2574 | 0.9396 | 0.7657 |
| 0.1421 | 4.8387 | 600 | 0.2292 | 0.9421 | 0.8178 |
| 0.0916 | 6.4516 | 800 | 0.2295 | 0.9472 | 0.8307 |
| 0.0554 | 8.0645 | 1000 | 0.2675 | 0.9464 | 0.8014 |
| 0.053 | 9.6774 | 1200 | 0.2816 | 0.9498 | 0.8131 |
| 0.029 | 11.2903 | 1400 | 0.3140 | 0.9498 | 0.8223 |
| 0.0207 | 12.9032 | 1600 | 0.3279 | 0.9464 | 0.8176 |
| 0.0186 | 14.5161 | 1800 | 0.3495 | 0.9489 | 0.8263 |
| 0.0137 | 16.1290 | 2000 | 0.3347 | 0.9515 | 0.8313 |
| 0.0135 | 17.7419 | 2200 | 0.3311 | 0.9506 | 0.8402 |
| 0.0093 | 19.3548 | 2400 | 0.3385 | 0.9481 | 0.8232 |
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 22, 2024
- Updated
- Jul 22, 2024