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584_test3_metrics
pk248/584_test3_metrics
584_test3_metrics is a text classification model from pk248. 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
- Oct 5, 2024
- Updated
- Oct 5, 2024
- SHA
- 2aea2a8f
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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. -->
584_test3_metrics
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: 1.5861
- Accuracy: 0.7562
- Precision: 0.7607
- Recall: 0.7562
- F1: 0.7575
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: 32
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 121 | 1.2523 | 0.4604 | 0.4677 | 0.4604 | 0.4289 |
| No log | 2.0 | 242 | 0.9115 | 0.6125 | 0.6287 | 0.6125 | 0.5964 |
| No log | 3.0 | 363 | 0.7587 | 0.6875 | 0.6886 | 0.6875 | 0.6766 |
| No log | 4.0 | 484 | 0.7560 | 0.7333 | 0.7386 | 0.7333 | 0.7305 |
| 0.9506 | 5.0 | 605 | 0.9259 | 0.6896 | 0.7131 | 0.6896 | 0.6851 |
| 0.9506 | 6.0 | 726 | 0.9248 | 0.7271 | 0.7481 | 0.7271 | 0.7248 |
| 0.9506 | 7.0 | 847 | 1.0145 | 0.7354 | 0.7390 | 0.7354 | 0.7362 |
| 0.9506 | 8.0 | 968 | 1.1566 | 0.7354 | 0.7481 | 0.7354 | 0.7357 |
| 0.2213 | 9.0 | 1089 | 1.3256 | 0.7104 | 0.7337 | 0.7104 | 0.7126 |
| 0.2213 | 10.0 | 1210 | 1.3571 | 0.7333 | 0.7352 | 0.7333 | 0.7334 |
| 0.2213 | 11.0 | 1331 | 1.4365 | 0.7417 | 0.7550 | 0.7417 | 0.7429 |
| 0.2213 | 12.0 | 1452 | 1.4358 | 0.7562 | 0.7688 | 0.7562 | 0.7577 |
| 0.0549 | 13.0 | 1573 | 1.3191 | 0.7625 | 0.7683 | 0.7625 | 0.7620 |
| 0.0549 | 14.0 | 1694 | 1.5765 | 0.7312 | 0.7460 | 0.7312 | 0.7338 |
| 0.0549 | 15.0 | 1815 | 1.5070 | 0.7479 | 0.7537 | 0.7479 | 0.7494 |
| 0.0549 | 16.0 | 1936 | 1.6250 | 0.7312 | 0.7454 | 0.7312 | 0.7331 |
| 0.0221 | 17.0 | 2057 | 1.6765 | 0.7375 | 0.7569 | 0.7375 | 0.7410 |
| 0.0221 | 18.0 | 2178 | 1.6002 | 0.7479 | 0.7513 | 0.7479 | 0.7492 |
| 0.0221 | 19.0 | 2299 | 1.5772 | 0.7521 | 0.7576 | 0.7521 | 0.7531 |
| 0.0221 | 20.0 | 2420 | 1.5861 | 0.7562 | 0.7607 | 0.7562 | 0.7575 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Oct 5, 2024
- Updated
- Oct 5, 2024