Downloads · 30 days
6
9% of all-time downloads
VF_BERT_ST_1800_V2
judithrosell/VF_BERT_ST_1800_V2
VF_BERT_ST_1800_V2 is a token classification model from judithrosell. 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
69
Public
Parameters
109M
4.4 GB 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
- Sep 7, 2024
- Updated
- Sep 8, 2024
- SHA
- 2227c489
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. -->
VF_BERT_ST_1800_V2
This model is a fine-tuned version of google-bert/bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1698
- Precision: 0.9686
- Recall: 0.9772
- F1: 0.9729
- Accuracy: 0.9683
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.2128 | 1.0 | 569 | 0.1128 | 0.9644 | 0.9733 | 0.9688 | 0.9654 |
| 0.0784 | 2.0 | 1138 | 0.1145 | 0.9668 | 0.9753 | 0.9710 | 0.9672 |
| 0.0512 | 3.0 | 1707 | 0.1242 | 0.9680 | 0.9746 | 0.9712 | 0.9663 |
| 0.0327 | 4.0 | 2276 | 0.1227 | 0.9706 | 0.9762 | 0.9734 | 0.9673 |
| 0.022 | 5.0 | 2845 | 0.1298 | 0.9684 | 0.9755 | 0.9719 | 0.9686 |
| 0.0153 | 6.0 | 3414 | 0.1410 | 0.9710 | 0.9778 | 0.9744 | 0.9698 |
| 0.0118 | 7.0 | 3983 | 0.1589 | 0.9681 | 0.9777 | 0.9729 | 0.9686 |
| 0.0058 | 8.0 | 4552 | 0.1617 | 0.9696 | 0.9773 | 0.9735 | 0.9691 |
| 0.005 | 9.0 | 5121 | 0.1731 | 0.9685 | 0.9773 | 0.9729 | 0.9683 |
| 0.0043 | 10.0 | 5690 | 0.1698 | 0.9686 | 0.9772 | 0.9729 | 0.9683 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Sep 7, 2024
- Updated
- Sep 8, 2024