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results
vinhainsec/results
results is a text classification model from vinhainsec. Use it when you need a label for a piece of text. It is set up for transformers. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Nov 9, 2024
- Updated
- Nov 9, 2024
- SHA
- 573a838b
Try a prompt
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. -->
ft-bert-base-uncased-for-binary-search
This model is a fine-tuned version of bert-base-uncased on the /kaggle/input/nv-dataset-fix/nv_dataset (1).csv dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
- Accuracy: 1.0
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0951 | 1.0 | 25 | 0.0067 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0012 | 2.0 | 50 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0007 | 3.0 | 75 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0005 | 4.0 | 100 | 0.0004 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0005 | 5.0 | 125 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 9, 2024
- Updated
- Nov 9, 2024