Downloads · 30 days
5
14% of all-time downloads
modelA_1_12_2023
MaryDatascientist/modelA_1_12_2023
modelA_1_12_2023 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
36
Public
Parameters
109M
871 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
- Dec 1, 2023
- Updated
- Dec 1, 2023
- SHA
- f5923f55
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. -->
modelA_1_12_2023
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: 0.0875
- Precision: 0.8761
- Recall: 0.8916
- F1: 0.8838
- Accuracy: 0.9756
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: 4.46211583196084e-05
- 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 |
|---|---|---|---|---|---|---|---|
| 0.0236 | 0.12 | 500 | 0.0804 | 0.8719 | 0.8856 | 0.8787 | 0.9747 |
| 0.0235 | 0.24 | 1000 | 0.0840 | 0.8461 | 0.9056 | 0.8749 | 0.9735 |
| 0.0193 | 0.37 | 1500 | 0.0869 | 0.8572 | 0.8990 | 0.8776 | 0.9745 |
| 0.0174 | 0.49 | 2000 | 0.0853 | 0.8689 | 0.8912 | 0.8799 | 0.9749 |
| 0.0136 | 0.61 | 2500 | 0.0899 | 0.8750 | 0.8923 | 0.8835 | 0.9754 |
| 0.0119 | 0.73 | 3000 | 0.0954 | 0.8685 | 0.8964 | 0.8822 | 0.9751 |
| 0.0126 | 0.85 | 3500 | 0.0919 | 0.8711 | 0.8932 | 0.8820 | 0.9754 |
| 0.0197 | 0.97 | 4000 | 0.0875 | 0.8761 | 0.8916 | 0.8838 | 0.9756 |
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
- Dec 1, 2023
- Updated
- Dec 1, 2023