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roberta-base-ner-demo
Tsegts-Erdene/roberta-base-ner-demo
roberta-base-ner-demo is a token classification model from Tsegts-Erdene. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- May 24, 2023
- Updated
- May 24, 2023
- SHA
- 506ea868
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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-ner-demo
This model is a fine-tuned version of bayartsogt/mongolian-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1444
- Precision: 0.9066
- Recall: 0.9148
- F1: 0.9107
- Accuracy: 0.9794
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1657 | 1.0 | 477 | 0.0976 | 0.8844 | 0.8947 | 0.8895 | 0.9692 |
| 0.0631 | 2.0 | 954 | 0.0917 | 0.8871 | 0.9084 | 0.8976 | 0.9709 |
| 0.0387 | 3.0 | 1431 | 0.1079 | 0.8978 | 0.9099 | 0.9038 | 0.9714 |
| 0.0272 | 4.0 | 1908 | 0.1198 | 0.8993 | 0.9119 | 0.9056 | 0.9716 |
| 0.017 | 5.0 | 2385 | 0.1235 | 0.9038 | 0.9108 | 0.9073 | 0.9783 |
| 0.007 | 6.0 | 2862 | 0.1272 | 0.9085 | 0.9151 | 0.9118 | 0.9795 |
| 0.0038 | 7.0 | 3339 | 0.1295 | 0.9064 | 0.9172 | 0.9118 | 0.9796 |
| 0.0029 | 8.0 | 3816 | 0.1368 | 0.9045 | 0.9167 | 0.9106 | 0.9795 |
| 0.0019 | 9.0 | 4293 | 0.1425 | 0.9076 | 0.9173 | 0.9124 | 0.9796 |
| 0.0015 | 10.0 | 4770 | 0.1444 | 0.9066 | 0.9148 | 0.9107 | 0.9794 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- roberta
- Languages
- mn
- Created
- May 24, 2023
- Updated
- May 24, 2023