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employment-contract-ner-da
saattrupdan/employment-contract-ner-da
employment-contract-ner-da is a token classification model from saattrupdan. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
This model is a fine-tuned version of xlm-roberta-base on a custom contracts dataset. It achieves the following results on the evaluation set: - Loss: 0.0026 - Micro F1: 0.9297
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Model card
From the Hugging Face model README
contract-ner-model-da
This model is a fine-tuned version of xlm-roberta-base on a custom contracts dataset. It achieves the following results on the evaluation set:
- Loss: 0.0026
- Micro F1: 0.9297
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 919
- num_epochs: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Micro F1 |
|---|---|---|---|---|
| 0.8971 | 0.24 | 200 | 0.0205 | 0.0 |
| 0.0173 | 0.48 | 400 | 0.0100 | 0.2921 |
| 0.0092 | 0.73 | 600 | 0.0065 | 0.7147 |
| 0.0063 | 0.97 | 800 | 0.0046 | 0.8332 |
| 0.0047 | 1.21 | 1000 | 0.0047 | 0.8459 |
| 0.0042 | 1.45 | 1200 | 0.0039 | 0.8694 |
| 0.0037 | 1.69 | 1400 | 0.0035 | 0.8888 |
| 0.0032 | 1.93 | 1600 | 0.0035 | 0.8840 |
| 0.0025 | 2.18 | 1800 | 0.0029 | 0.8943 |
| 0.0023 | 2.42 | 2000 | 0.0024 | 0.9104 |
| 0.0023 | 2.66 | 2200 | 0.0032 | 0.8808 |
| 0.0021 | 2.9 | 2400 | 0.0022 | 0.9338 |
| 0.0018 | 3.14 | 2600 | 0.0020 | 0.9315 |
| 0.0015 | 3.39 | 2800 | 0.0026 | 0.9297 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.8.1+cu101
- Datasets 1.12.1
- Tokenizers 0.10.3
- Task
- Token Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Languages
- da
- Created
- Mar 2, 2022
- Updated
- Sep 11, 2023