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2ndDepRoBERTa-v3
ericNguyen0132/2ndDepRoBERTa-v3
2ndDepRoBERTa-v3 is a text classification model from ericNguyen0132. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jul 12, 2023
- Updated
- Jul 13, 2023
- SHA
- 287c844d
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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. -->
2ndDepRoBERTa-v3
This model is a fine-tuned version of rafalposwiata/deproberta-large-v1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9025
- Accuracy: 0.83
- F1: 0.8988
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5962 | 1.0 | 938 | 0.5780 | 0.86 | 0.9209 |
| 0.4972 | 2.0 | 1876 | 0.5820 | 0.8567 | 0.9184 |
| 0.4751 | 3.0 | 2814 | 0.6757 | 0.8483 | 0.9112 |
| 0.3889 | 4.0 | 3752 | 0.8244 | 0.8367 | 0.9034 |
| 0.3363 | 5.0 | 4690 | 0.9025 | 0.83 | 0.8988 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jul 12, 2023
- Updated
- Jul 13, 2023