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fine-tune-roberta-combined
nouman-10/fine-tune-roberta-combined
fine-tune-roberta-combined is a text classification model from nouman-10. 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
- Mar 8, 2023
- Updated
- Mar 8, 2023
- SHA
- 2ff39066
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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. -->
fine-tune-roberta-combined
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0682
- Accuracy: 0.7442
- F1: 0.7301
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.4395 | 1.0 | 1819 | 0.6622 | 0.6715 | 0.5979 |
| 0.3503 | 2.0 | 3638 | 0.6315 | 0.7297 | 0.7066 |
| 0.2722 | 3.0 | 5457 | 0.6448 | 0.7267 | 0.6948 |
| 0.203 | 4.0 | 7276 | 0.7440 | 0.7529 | 0.7432 |
| 0.1761 | 5.0 | 9095 | 1.0682 | 0.7442 | 0.7301 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 8, 2023
- Updated
- Mar 8, 2023