Downloads · 30 days
6
1% of all-time downloads
parsbert-finetuned-pos
sepidmnorozy/parsbert-finetuned-pos
parsbert-finetuned-pos is a token classification model from sepidmnorozy. Use it when you need labels on individual words, such as names. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
623
Public
Repo size
2.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin649 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 8, 2022
- Updated
- Apr 12, 2022
- SHA
- ada6e7b6
Try a prompt
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. -->
parsbert-finetuned-pos
This model is a fine-tuned version of HooshvareLab/bert-base-parsbert-uncased on the udpos28 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1385
- Precision: 0.9448
- Recall: 0.9486
- F1: 0.9467
- Accuracy: 0.9599
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.122 | 1.0 | 3103 | 0.1215 | 0.9363 | 0.9424 | 0.9394 | 0.9561 |
| 0.0735 | 2.0 | 6206 | 0.1297 | 0.9413 | 0.9474 | 0.9443 | 0.9582 |
| 0.0373 | 3.0 | 9309 | 0.1385 | 0.9448 | 0.9486 | 0.9467 | 0.9599 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0
- Datasets 2.0.0
- Tokenizers 0.11.6
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Created
- Apr 8, 2022
- Updated
- Apr 12, 2022