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sentence_splitter_final_v2
Buseak/sentence_splitter_final_v2
sentence_splitter_final_v2 is a token classification model from Buseak. 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
- canine
- Access
- Public
- Created
- Jan 7, 2024
- Updated
- Jan 7, 2024
- SHA
- 8d9b8052
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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. -->
sentence_splitter_final_v2
This model is a fine-tuned version of google/canine-s on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Precision: 0.8
- Recall: 1.0
- F1: 0.8889
- Accuracy: 1.0000
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 95 | 0.0037 | 0.0690 | 0.5 | 0.1212 | 0.9988 |
| No log | 2.0 | 190 | 0.0022 | 0.0909 | 1.0 | 0.1667 | 0.9993 |
| No log | 3.0 | 285 | 0.0014 | 0.1333 | 1.0 | 0.2353 | 0.9995 |
| No log | 4.0 | 380 | 0.0010 | 0.1905 | 1.0 | 0.32 | 0.9996 |
| No log | 5.0 | 475 | 0.0008 | 0.25 | 1.0 | 0.4 | 0.9997 |
| 0.0096 | 6.0 | 570 | 0.0004 | 0.3636 | 1.0 | 0.5333 | 0.9998 |
| 0.0096 | 7.0 | 665 | 0.0004 | 0.2222 | 1.0 | 0.3636 | 0.9999 |
| 0.0096 | 8.0 | 760 | 0.0002 | 0.4 | 1.0 | 0.5714 | 0.9999 |
| 0.0096 | 9.0 | 855 | 0.0003 | 0.1905 | 1.0 | 0.32 | 0.9999 |
| 0.0096 | 10.0 | 950 | 0.0003 | 0.2105 | 1.0 | 0.3478 | 0.9999 |
| 0.0008 | 11.0 | 1045 | 0.0001 | 0.3333 | 1.0 | 0.5 | 1.0000 |
| 0.0008 | 12.0 | 1140 | 0.0001 | 0.5 | 1.0 | 0.6667 | 1.0000 |
| 0.0008 | 13.0 | 1235 | 0.0001 | 0.4444 | 1.0 | 0.6154 | 1.0000 |
| 0.0008 | 14.0 | 1330 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
| 0.0008 | 15.0 | 1425 | 0.0000 | 0.6667 | 1.0 | 0.8 | 1.0000 |
| 0.0003 | 16.0 | 1520 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
| 0.0003 | 17.0 | 1615 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
| 0.0003 | 18.0 | 1710 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
| 0.0003 | 19.0 | 1805 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
| 0.0003 | 20.0 | 1900 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
| 0.0003 | 21.0 | 1995 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
| 0.0001 | 22.0 | 2090 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
| 0.0001 | 23.0 | 2185 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
| 0.0001 | 24.0 | 2280 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
| 0.0001 | 25.0 | 2375 | 0.0000 | 0.8 | 1.0 | 0.8889 | 1.0000 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- canine
- License
- apache-2.0
- Created
- Jan 7, 2024
- Updated
- Jan 7, 2024