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bert_david
biblo0507/bert_david
bert_david is a text classification model from biblo0507. 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
- xlm-roberta
- Access
- Public
- Created
- Mar 21, 2025
- Updated
- Mar 21, 2025
- SHA
- 278f7a5e
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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. -->
bert_david
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1726
- Accuracy: 0.9801
- F1: 0.9801
- Precision: 0.9808
- Recall: 0.9801
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.1124 | 1.0 | 38 | 1.0985 | 0.3709 | 0.2675 | 0.2579 | 0.3709 |
| 1.0094 | 2.0 | 76 | 0.9154 | 0.8742 | 0.8726 | 0.8883 | 0.8742 |
| 0.4876 | 3.0 | 114 | 0.2264 | 0.9603 | 0.9603 | 0.9604 | 0.9603 |
| 0.169 | 4.0 | 152 | 0.1434 | 0.9669 | 0.9670 | 0.9700 | 0.9669 |
| 0.0587 | 5.0 | 190 | 0.1836 | 0.9603 | 0.9602 | 0.9611 | 0.9603 |
| 0.1567 | 6.0 | 228 | 0.5538 | 0.9073 | 0.9063 | 0.9212 | 0.9073 |
| 0.0874 | 7.0 | 266 | 0.0742 | 0.9868 | 0.9868 | 0.9869 | 0.9868 |
| 0.0276 | 8.0 | 304 | 0.2171 | 0.9735 | 0.9736 | 0.9755 | 0.9735 |
| 0.0958 | 9.0 | 342 | 0.0921 | 0.9801 | 0.9800 | 0.9807 | 0.9801 |
| 0.0356 | 10.0 | 380 | 0.2225 | 0.9669 | 0.9672 | 0.9691 | 0.9669 |
| 0.0008 | 11.0 | 418 | 0.0458 | 0.9868 | 0.9867 | 0.9872 | 0.9868 |
| 0.0281 | 12.0 | 456 | 0.2725 | 0.9603 | 0.9601 | 0.9635 | 0.9603 |
| 0.001 | 13.0 | 494 | 0.1389 | 0.9735 | 0.9734 | 0.9748 | 0.9735 |
| 0.0003 | 14.0 | 532 | 0.0618 | 0.9934 | 0.9934 | 0.9935 | 0.9934 |
| 0.0007 | 15.0 | 570 | 0.3717 | 0.9470 | 0.9468 | 0.9531 | 0.9470 |
| 0.0132 | 16.0 | 608 | 0.2814 | 0.9669 | 0.9670 | 0.9700 | 0.9669 |
| 0.0318 | 17.0 | 646 | 0.2333 | 0.9735 | 0.9734 | 0.9748 | 0.9735 |
| 0.0405 | 18.0 | 684 | 0.2297 | 0.9669 | 0.9668 | 0.9671 | 0.9669 |
| 0.0002 | 19.0 | 722 | 0.1733 | 0.9801 | 0.9801 | 0.9808 | 0.9801 |
| 0.0002 | 20.0 | 760 | 0.1726 | 0.9801 | 0.9801 | 0.9808 | 0.9801 |
Framework versions
- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.4.1
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Mar 21, 2025
- Updated
- Mar 21, 2025