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bert_ecthr_a
dawningz/bert_ecthr_a
bert_ecthr_a is a text classification model from dawningz. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- bert
- Access
- Public
- Created
- Dec 1, 2025
- Updated
- Dec 2, 2025
- SHA
- dae51586
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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_ecthr_a
This model is a fine-tuned version of nlpaueb/legal-bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1547
- F1 Micro: 0.7058
- F1 Macro: 0.6238
- Accuracy: 0.554
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Accuracy |
|---|---|---|---|---|---|---|
| 0.1425 | 1.0 | 1125 | 0.1742 | 0.6589 | 0.5289 | 0.499 |
| 0.1157 | 2.0 | 2250 | 0.1587 | 0.6875 | 0.5915 | 0.538 |
| 0.1177 | 3.0 | 3375 | 0.1547 | 0.7058 | 0.6238 | 0.554 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- cc-by-sa-4.0
- Created
- Dec 1, 2025
- Updated
- Dec 2, 2025