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PhoBERT_NER_T4-ABSA
ThuyNT03/PhoBERT_NER_T4-ABSA
PhoBERT_NER_T4-ABSA is a token classification model from ThuyNT03. 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
- Mar 23, 2024
- Updated
- Mar 23, 2024
- SHA
- 163a111a
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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. -->
PhoBERT_NER_T4-ABSA
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0135
- F1: 0.9454
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: 16
- eval_batch_size: 128
- 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 | F1 |
|---|---|---|---|---|
| No log | 1.0 | 435 | 0.1542 | 0.6301 |
| No log | 2.0 | 870 | 0.1053 | 0.7274 |
| No log | 3.0 | 1305 | 0.0803 | 0.7898 |
| No log | 4.0 | 1740 | 0.0616 | 0.8217 |
| No log | 5.0 | 2175 | 0.0504 | 0.8569 |
| No log | 6.0 | 2610 | 0.0434 | 0.8776 |
| No log | 7.0 | 3045 | 0.0356 | 0.8870 |
| No log | 8.0 | 3480 | 0.0308 | 0.9110 |
| No log | 9.0 | 3915 | 0.0256 | 0.9147 |
| No log | 10.0 | 4350 | 0.0228 | 0.9241 |
| No log | 11.0 | 4785 | 0.0208 | 0.9332 |
| No log | 12.0 | 5220 | 0.0192 | 0.9327 |
| No log | 13.0 | 5655 | 0.0173 | 0.9408 |
| No log | 14.0 | 6090 | 0.0161 | 0.9425 |
| No log | 15.0 | 6525 | 0.0157 | 0.9440 |
| No log | 16.0 | 6960 | 0.0151 | 0.9391 |
| No log | 17.0 | 7395 | 0.0142 | 0.9410 |
| No log | 18.0 | 7830 | 0.0142 | 0.9474 |
| No log | 19.0 | 8265 | 0.0138 | 0.9463 |
| No log | 20.0 | 8700 | 0.0135 | 0.9454 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 23, 2024
- Updated
- Mar 23, 2024