Downloads · 30 days
5
21% of all-time downloads
ConcSeqBERT-Katchers-v2
MSParkDev/ConcSeqBERT-Katchers-v2
ConcSeqBERT-Katchers-v2 is a text classification model from MSParkDev. Use it when you need a label for a piece of text. 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
24
Public
Parameters
178M
7.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors711 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 13, 2024
- Updated
- May 13, 2024
- SHA
- 8191ec1c
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. -->
ConcSeqBERT-Katchers-v2
This model is a fine-tuned version of google-bert/bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5013
- Accuracy: 0.7895
- F1: 0.7892
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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4689 | 1.0 | 2522 | 0.5435 | 0.7627 | 0.7611 |
| 0.4421 | 2.0 | 5044 | 0.5013 | 0.7895 | 0.7892 |
| 0.3959 | 3.0 | 7566 | 0.5284 | 0.7905 | 0.7902 |
| 0.3783 | 4.0 | 10088 | 0.6208 | 0.7969 | 0.7969 |
| 0.3641 | 5.0 | 12610 | 0.7085 | 0.7825 | 0.7820 |
| 0.3415 | 6.0 | 15132 | 0.6301 | 0.7859 | 0.7858 |
| 0.3129 | 7.0 | 17654 | 0.9330 | 0.7896 | 0.7896 |
| 0.2658 | 8.0 | 20176 | 1.0530 | 0.7844 | 0.7835 |
| 0.2322 | 9.0 | 22698 | 1.1667 | 0.7902 | 0.7897 |
| 0.1925 | 10.0 | 25220 | 1.2394 | 0.7905 | 0.7902 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- May 13, 2024
- Updated
- May 13, 2024