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bert_hierarchical_ecthr_a
dawningz/bert_hierarchical_ecthr_a
bert_hierarchical_ecthr_a is a machine learning model from dawningz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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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Updated Dec 2, 2025
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At a glance
- Library
- transformers
- License
- cc-by-sa-4.0
- Access
- Public
- Created
- Dec 2, 2025
- Updated
- Dec 2, 2025
- SHA
- 5f93b05f
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_hierarchical_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: 0.1302
- F1 Micro: 0.7626
- F1 Macro: 0.7067
- Accuracy: 0.6
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|
| 0.1161 | 1.0 | 1125 | 0.1649 | 0.7053 | 0.5563 | 0.533 |
| 0.1055 | 2.0 | 2250 | 0.1340 | 0.7565 | 0.6584 | 0.598 |
| 0.1045 | 3.0 | 3375 | 0.1302 | 0.7626 | 0.7067 | 0.6 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- transformers
- License
- cc-by-sa-4.0
- Created
- Dec 2, 2025
- Updated
- Dec 2, 2025