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multibert_seed33_1311
Tommert25/multibert_seed33_1311
multibert_seed33_1311 is a token classification model from Tommert25. 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
- bert
- Access
- Public
- Created
- Nov 13, 2023
- Updated
- Nov 13, 2023
- SHA
- 7a4f1c8f
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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. -->
multibert_seed33_1311
This model is a fine-tuned version of bert-base-multilingual-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4745
- Precisions: 0.8770
- Recall: 0.8049
- F-measure: 0.8343
- Accuracy: 0.9364
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: 7.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 34
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 14
Training results
| Training Loss | Epoch | Step | Validation Loss | Precisions | Recall | F-measure | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.4458 | 1.0 | 236 | 0.2719 | 0.8870 | 0.7002 | 0.7379 | 0.9144 |
| 0.2302 | 2.0 | 472 | 0.2497 | 0.8728 | 0.7439 | 0.7647 | 0.9209 |
| 0.139 | 3.0 | 708 | 0.2849 | 0.8797 | 0.7900 | 0.8231 | 0.9340 |
| 0.0881 | 4.0 | 944 | 0.3292 | 0.8694 | 0.7757 | 0.8140 | 0.9296 |
| 0.0539 | 5.0 | 1180 | 0.3674 | 0.8488 | 0.7775 | 0.8061 | 0.9272 |
| 0.0382 | 6.0 | 1416 | 0.3497 | 0.8482 | 0.8083 | 0.8263 | 0.9356 |
| 0.0266 | 7.0 | 1652 | 0.3809 | 0.8435 | 0.8162 | 0.8281 | 0.9366 |
| 0.0187 | 8.0 | 1888 | 0.4222 | 0.8522 | 0.7840 | 0.8096 | 0.9303 |
| 0.0133 | 9.0 | 2124 | 0.4423 | 0.8646 | 0.7878 | 0.8176 | 0.9356 |
| 0.0085 | 10.0 | 2360 | 0.4632 | 0.8538 | 0.8005 | 0.8221 | 0.9342 |
| 0.007 | 11.0 | 2596 | 0.4638 | 0.8632 | 0.8026 | 0.8281 | 0.9342 |
| 0.0031 | 12.0 | 2832 | 0.4679 | 0.8720 | 0.8037 | 0.8303 | 0.9361 |
| 0.0023 | 13.0 | 3068 | 0.4712 | 0.8644 | 0.8098 | 0.8327 | 0.9366 |
| 0.0018 | 14.0 | 3304 | 0.4745 | 0.8770 | 0.8049 | 0.8343 | 0.9364 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 13, 2023
- Updated
- Nov 13, 2023