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fabner-ner
PrathikJain/fabner-ner
fabner-ner is a machine learning model from PrathikJain. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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.safetensors261 MB · 100%
At a glance
- Model type
- distilbert
- Access
- Public
- Created
- Sep 1, 2024
- Updated
- Sep 1, 2024
- SHA
- cad1a38d
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. -->
fabner-ner
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3802
- Precision: 0.8230
- Recall: 0.8455
- F1: 0.8341
- Accuracy: 0.9045
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 13 | 0.3682 | 0.8142 | 0.8364 | 0.8251 | 0.9045 |
| No log | 2.0 | 26 | 0.3777 | 0.8230 | 0.8455 | 0.8341 | 0.9045 |
| No log | 3.0 | 39 | 0.3802 | 0.8230 | 0.8455 | 0.8341 | 0.9045 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- distilbert
- Created
- Sep 1, 2024
- Updated
- Sep 1, 2024