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not-ner-v3_batch16
lmaccarini/not-ner-v3_batch16
not-ner-v3_batch16 is a machine learning model from lmaccarini. 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 cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Aug 27, 2024
- Updated
- Aug 27, 2024
- SHA
- c0052697
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. -->
not-ner-v3_batch16
This model is a fine-tuned version of dccuchile/tulio-chilean-spanish-bert on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1059
- Accuracy: 0.9709
- Precision: 0.9698
- Recall: 0.9709
- F1: 0.9699
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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 | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0452 | 0.2646 | 200 | 0.2503 | 0.9596 | 0.9578 | 0.9596 | 0.9558 |
| 0.1058 | 0.5291 | 400 | 0.1167 | 0.9686 | 0.9673 | 0.9686 | 0.9668 |
| 0.1106 | 0.7937 | 600 | 0.1059 | 0.9709 | 0.9698 | 0.9709 | 0.9699 |
| 0.103 | 1.0582 | 800 | 0.1179 | 0.9662 | 0.9657 | 0.9662 | 0.9659 |
| 0.0629 | 1.3228 | 1000 | 0.1298 | 0.9719 | 0.9709 | 0.9719 | 0.9705 |
| 0.0633 | 1.5873 | 1200 | 0.1176 | 0.9732 | 0.9728 | 0.9732 | 0.9730 |
| 0.0436 | 1.8519 | 1400 | 0.1257 | 0.9725 | 0.9721 | 0.9725 | 0.9723 |
| 0.0487 | 2.1164 | 1600 | 0.1206 | 0.9729 | 0.9724 | 0.9729 | 0.9726 |
| 0.0309 | 2.3810 | 1800 | 0.1232 | 0.9705 | 0.9705 | 0.9705 | 0.9705 |
| 0.0235 | 2.6455 | 2000 | 0.1379 | 0.9742 | 0.9738 | 0.9742 | 0.9740 |
| 0.0272 | 2.9101 | 2200 | 0.1327 | 0.9729 | 0.9724 | 0.9729 | 0.9726 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- bert
- License
- cc-by-4.0
- Created
- Aug 27, 2024
- Updated
- Aug 27, 2024