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transformerNERmodel
Odelolasolomon/transformerNERmodel
transformerNERmodel is a machine learning model from Odelolasolomon. 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. --
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At a glance
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Sep 1, 2024
- Updated
- Sep 1, 2024
- SHA
- 5fefd224
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. -->
transformerNERmodel
This model is a fine-tuned version of distilbert/distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2971
- Precision: 0.4671
- Recall: 0.4134
- F1: 0.4386
- Accuracy: 0.9091
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 | 56 | 0.3648 | 0.5574 | 0.0583 | 0.1056 | 0.8803 |
| No log | 2.0 | 112 | 0.3058 | 0.4895 | 0.3585 | 0.4139 | 0.9049 |
| No log | 3.0 | 168 | 0.2971 | 0.4671 | 0.4134 | 0.4386 | 0.9091 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
- Type
- distilbert
- License
- apache-2.0
- Created
- Sep 1, 2024
- Updated
- Sep 1, 2024