Downloads · 30 days
6
21% of all-time downloads
model-2024-06-06
ineoApp/model-2024-06-06
model-2024-06-06 is a token classification model from ineoApp. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
28
Public
Repo size
4.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.4 GB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv3
- Access
- Public
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024
- SHA
- c6d66c81
Try a prompt
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. -->
model-2024-06-06
This model is a fine-tuned version of microsoft/layoutlmv3-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5257
- Precision: 0.7422
- Recall: 0.7427
- F1: 0.7424
- Accuracy: 0.8617
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.6 | 100 | 1.4725 | 0.2387 | 0.0987 | 0.1396 | 0.6316 |
| No log | 1.19 | 200 | 0.9815 | 0.5362 | 0.434 | 0.4797 | 0.7585 |
| No log | 1.79 | 300 | 0.7596 | 0.6422 | 0.5707 | 0.6043 | 0.8071 |
| No log | 2.38 | 400 | 0.6719 | 0.6739 | 0.6433 | 0.6583 | 0.8240 |
| 1.1397 | 2.98 | 500 | 0.5865 | 0.7118 | 0.7013 | 0.7065 | 0.8429 |
| 1.1397 | 3.57 | 600 | 0.5910 | 0.7293 | 0.722 | 0.7256 | 0.8505 |
| 1.1397 | 4.17 | 700 | 0.5456 | 0.7373 | 0.726 | 0.7316 | 0.8524 |
| 1.1397 | 4.76 | 800 | 0.5343 | 0.7376 | 0.7327 | 0.7351 | 0.8557 |
| 1.1397 | 5.36 | 900 | 0.5327 | 0.7283 | 0.7487 | 0.7383 | 0.8569 |
| 0.4593 | 5.95 | 1000 | 0.5257 | 0.7422 | 0.7427 | 0.7424 | 0.8617 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Jun 5, 2024
- Updated
- Jun 5, 2024