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SOMD-train-bert-v2
ThuyNT03/SOMD-train-bert-v2
SOMD-train-bert-v2 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
- Feb 20, 2024
- Updated
- Feb 20, 2024
- SHA
- 10b61936
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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. -->
SOMD-train-bert-v2
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0002
- F1: 0.9897
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 1243 | 0.0047 | 0.7140 |
| No log | 2.0 | 2486 | 0.0018 | 0.8496 |
| No log | 3.0 | 3729 | 0.0011 | 0.9078 |
| No log | 4.0 | 4972 | 0.0003 | 0.9791 |
| No log | 5.0 | 6215 | 0.0002 | 0.9897 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Feb 20, 2024
- Updated
- Feb 20, 2024