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roberta-base-legal-ecthr-downstream-ecthr-a
MHGanainy/roberta-base-legal-ecthr-downstream-ecthr-a
roberta-base-legal-ecthr-downstream-ecthr-a is a text classification model from MHGanainy. 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
- Aug 23, 2024
- Updated
- Aug 23, 2024
- SHA
- 83b9246a
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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. -->
roberta-base-legal-ecthr-downstream-ecthr-a
This model is a fine-tuned version of MHGanainy/roberta-base-legal-ecthr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2172
- Macro-f1: 0.6244
- Micro-f1: 0.6895
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: 16
- eval_batch_size: 16
- seed: 1
- distributed_type: multi-GPU
- num_devices: 2
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Macro-f1 | Micro-f1 |
|---|---|---|---|---|---|
| No log | 1.0 | 282 | 0.1874 | 0.5222 | 0.6485 |
| 0.1596 | 2.0 | 564 | 0.1701 | 0.5792 | 0.6851 |
| 0.1596 | 3.0 | 846 | 0.1910 | 0.6125 | 0.6808 |
| 0.1036 | 4.0 | 1128 | 0.1793 | 0.6327 | 0.7029 |
| 0.1036 | 5.0 | 1410 | 0.1825 | 0.6134 | 0.6850 |
| 0.0826 | 6.0 | 1692 | 0.1947 | 0.6266 | 0.6985 |
| 0.0826 | 7.0 | 1974 | 0.2172 | 0.6244 | 0.6895 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Aug 23, 2024
- Updated
- Aug 23, 2024