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camembert-base-NER-favsbot
nguyenkhoa2407/camembert-base-NER-favsbot
camembert-base-NER-favsbot is a token classification model from nguyenkhoa2407. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- camembert
- Access
- Public
- Created
- Aug 23, 2022
- Updated
- Aug 23, 2022
- SHA
- dc407535
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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. -->
camembert-base-NER-favsbot
This model is a fine-tuned version of camembert-base on the favsbot dataset. It achieves the following results on the evaluation set:
- Loss: 1.7433
- Precision: 0.6
- Recall: 0.0121
- F1: 0.0238
- Accuracy: 0.4208
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: 1.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 4 | 2.2915 | 0.1364 | 0.1215 | 0.1285 | 0.3475 |
| No log | 2.0 | 8 | 2.2230 | 0.2909 | 0.0648 | 0.1060 | 0.4395 |
| No log | 3.0 | 12 | 2.1573 | 0.4545 | 0.0202 | 0.0388 | 0.4225 |
| No log | 4.0 | 16 | 2.0961 | 0.0 | 0.0 | 0.0 | 0.4123 |
| No log | 5.0 | 20 | 2.0426 | 0.0 | 0.0 | 0.0 | 0.4123 |
| No log | 6.0 | 24 | 1.9965 | 0.0 | 0.0 | 0.0 | 0.4123 |
| No log | 7.0 | 28 | 1.9575 | 0.0 | 0.0 | 0.0 | 0.4123 |
| No log | 8.0 | 32 | 1.9233 | 0.0 | 0.0 | 0.0 | 0.4123 |
| No log | 9.0 | 36 | 1.8933 | 0.0 | 0.0 | 0.0 | 0.4123 |
| No log | 10.0 | 40 | 1.8674 | 0.0 | 0.0 | 0.0 | 0.4123 |
| No log | 11.0 | 44 | 1.8441 | 0.0 | 0.0 | 0.0 | 0.4123 |
| No log | 12.0 | 48 | 1.8240 | 0.0 | 0.0 | 0.0 | 0.4123 |
| No log | 13.0 | 52 | 1.8060 | 1.0 | 0.0040 | 0.0081 | 0.4140 |
| No log | 14.0 | 56 | 1.7899 | 1.0 | 0.0040 | 0.0081 | 0.4140 |
| No log | 15.0 | 60 | 1.7762 | 1.0 | 0.0040 | 0.0081 | 0.4140 |
| No log | 16.0 | 64 | 1.7647 | 0.5 | 0.0040 | 0.0080 | 0.4157 |
| No log | 17.0 | 68 | 1.7556 | 0.5 | 0.0040 | 0.0080 | 0.4157 |
| No log | 18.0 | 72 | 1.7490 | 0.6667 | 0.0081 | 0.016 | 0.4174 |
| No log | 19.0 | 76 | 1.7449 | 0.75 | 0.0121 | 0.0239 | 0.4191 |
| No log | 20.0 | 80 | 1.7433 | 0.6 | 0.0121 | 0.0238 | 0.4208 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Token Classification
- Library
- transformers
- Type
- camembert
- License
- mit
- Created
- Aug 23, 2022
- Updated
- Aug 23, 2022