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results
eleanorlurgio/results
results is a text classification model from eleanorlurgio. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Feb 18, 2024
- Updated
- Mar 1, 2024
- SHA
- 523a7b83
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. -->
results
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1686
- Precision: 0.5584
- Recall: 0.5584
- F1: 0.5584
- Accuracy: 0.5584
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.206 | 1.0 | 534 | 1.0461 | 0.5448 | 0.5448 | 0.5448 | 0.5448 |
| 0.9567 | 2.0 | 1068 | 0.9847 | 0.5688 | 0.5688 | 0.5688 | 0.5688 |
| 0.7989 | 3.0 | 1602 | 1.0666 | 0.5561 | 0.5561 | 0.5561 | 0.5561 |
| 0.6583 | 4.0 | 2136 | 1.1775 | 0.5498 | 0.5498 | 0.5498 | 0.5498 |
| 0.5264 | 5.0 | 2670 | 1.3568 | 0.5516 | 0.5516 | 0.5516 | 0.5516 |
| 0.3965 | 6.0 | 3204 | 1.5431 | 0.5407 | 0.5407 | 0.5407 | 0.5407 |
| 0.3222 | 7.0 | 3738 | 1.6581 | 0.5525 | 0.5525 | 0.5525 | 0.5525 |
| 0.243 | 8.0 | 4272 | 1.8748 | 0.5570 | 0.5570 | 0.5570 | 0.5570 |
| 0.1881 | 9.0 | 4806 | 2.0840 | 0.5443 | 0.5443 | 0.5443 | 0.5443 |
| 0.1449 | 10.0 | 5340 | 2.1686 | 0.5584 | 0.5584 | 0.5584 | 0.5584 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.1+cu118
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Feb 18, 2024
- Updated
- Mar 1, 2024