Downloads · 30 days
9
26% of all-time downloads
output_dir_nlpA
MaryDatascientist/output_dir_nlpA
output_dir_nlpA is a token classification model from MaryDatascientist. 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. --
All-time downloads
35
Public
Parameters
109M
436 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors436 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 30, 2023
- Updated
- Nov 30, 2023
- SHA
- 3932149a
Try a prompt
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. -->
output_dir_nlpA
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0719
- Precision: 0.8688
- Recall: 0.8863
- F1: 0.8775
- Accuracy: 0.9747
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: 0.00023562901531222485
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.114 | 0.12 | 500 | 0.1153 | 0.8189 | 0.7594 | 0.7880 | 0.9607 |
| 0.0973 | 0.24 | 1000 | 0.1092 | 0.7920 | 0.8177 | 0.8047 | 0.9614 |
| 0.088 | 0.37 | 1500 | 0.0954 | 0.8387 | 0.8284 | 0.8335 | 0.9674 |
| 0.0744 | 0.49 | 2000 | 0.0883 | 0.8630 | 0.8248 | 0.8434 | 0.9694 |
| 0.06 | 0.61 | 2500 | 0.0853 | 0.8307 | 0.8833 | 0.8562 | 0.9703 |
| 0.0509 | 0.73 | 3000 | 0.0783 | 0.8657 | 0.8724 | 0.8690 | 0.9729 |
| 0.0422 | 0.85 | 3500 | 0.0753 | 0.8598 | 0.8875 | 0.8734 | 0.9738 |
| 0.0392 | 0.97 | 4000 | 0.0719 | 0.8688 | 0.8863 | 0.8775 | 0.9747 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 30, 2023
- Updated
- Nov 30, 2023