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guj-pos-tagging-v2
om-ashish-soni/guj-pos-tagging-v2
guj-pos-tagging-v2 is a token classification model from om-ashish-soni. 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
- Sep 22, 2023
- Updated
- Sep 26, 2023
- SHA
- bbb5bc44
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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. -->
guj-pos-tagging-v2
This model is a fine-tuned version of om-ashish-soni/guj-pos-tagging-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3235
- Precision: 0.9393
- Recall: 0.9407
- F1: 0.9400
- Accuracy: 0.9542
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0701 | 1.0 | 3003 | 0.2846 | 0.9310 | 0.9332 | 0.9321 | 0.9481 |
| 0.0649 | 2.0 | 6006 | 0.2600 | 0.9318 | 0.9336 | 0.9327 | 0.9493 |
| 0.0668 | 3.0 | 9009 | 0.2529 | 0.9328 | 0.9366 | 0.9347 | 0.9505 |
| 0.0586 | 4.0 | 12012 | 0.2580 | 0.9330 | 0.9357 | 0.9343 | 0.9500 |
| 0.0611 | 5.0 | 15015 | 0.2449 | 0.9351 | 0.9357 | 0.9354 | 0.9511 |
| 0.0456 | 6.0 | 18018 | 0.2544 | 0.9348 | 0.9381 | 0.9365 | 0.9517 |
| 0.0337 | 7.0 | 21021 | 0.2816 | 0.9377 | 0.9398 | 0.9387 | 0.9535 |
| 0.0294 | 8.0 | 24024 | 0.2872 | 0.9383 | 0.9406 | 0.9394 | 0.9539 |
| 0.0194 | 9.0 | 27027 | 0.3155 | 0.9390 | 0.9402 | 0.9396 | 0.9541 |
| 0.0156 | 10.0 | 30030 | 0.3235 | 0.9393 | 0.9407 | 0.9400 | 0.9542 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 22, 2023
- Updated
- Sep 26, 2023