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RoBERTa_conll_epoch_8
ICT2214Team7/RoBERTa_conll_epoch_8
RoBERTa_conll_epoch_8 is a token classification model from ICT2214Team7. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Jun 28, 2024
- Updated
- Jun 28, 2024
- SHA
- 5b163133
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Base models
Datasets
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_conll_epoch_8
This model is a fine-tuned version of distilroberta-base on the conll2003 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0813
- Precision: 0.9464
- Recall: 0.9589
- F1: 0.9526
- Accuracy: 0.9889
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0799 | 1.0 | 1756 | 0.0700 | 0.9133 | 0.9320 | 0.9225 | 0.9827 |
| 0.0449 | 2.0 | 3512 | 0.0661 | 0.9325 | 0.9440 | 0.9382 | 0.9865 |
| 0.0283 | 3.0 | 5268 | 0.0707 | 0.9275 | 0.9456 | 0.9365 | 0.9852 |
| 0.0203 | 4.0 | 7024 | 0.0622 | 0.9424 | 0.9586 | 0.9504 | 0.9882 |
| 0.0111 | 5.0 | 8780 | 0.0758 | 0.9382 | 0.9549 | 0.9465 | 0.9878 |
| 0.0067 | 6.0 | 10536 | 0.0761 | 0.9395 | 0.9546 | 0.9470 | 0.9880 |
| 0.0031 | 7.0 | 12292 | 0.0821 | 0.9391 | 0.9546 | 0.9468 | 0.9878 |
| 0.0021 | 8.0 | 14048 | 0.0813 | 0.9464 | 0.9589 | 0.9526 | 0.9889 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Jun 28, 2024
- Updated
- Jun 28, 2024