Downloads · 30 days
9
2% of all-time downloads
bert-finetuned-ner-invoice
drajend9/bert-finetuned-ner-invoice
bert-finetuned-ner-invoice is a machine learning model from drajend9. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
372
Public
Parameters
108M
1.3 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors431 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 19, 2024
- Updated
- Aug 19, 2024
- SHA
- f0966a03
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. -->
bert-finetuned-ner-invoice
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1008
- Precision: 0.9373
- Recall: 0.8718
- F1: 0.9034
- Accuracy: 0.9812
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 35 | 0.3186 | 0.6126 | 0.6423 | 0.6271 | 0.9315 |
| No log | 2.0 | 70 | 0.1265 | 0.8946 | 0.8332 | 0.8628 | 0.9768 |
| No log | 3.0 | 105 | 0.1008 | 0.9373 | 0.8718 | 0.9034 | 0.9812 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- bert
- License
- apache-2.0
- Created
- Aug 19, 2024
- Updated
- Aug 19, 2024