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roberta-base-Dep
hoanghoavienvo/roberta-base-Dep
roberta-base-Dep is a text classification model from hoanghoavienvo. 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 3, 2023
- Updated
- Jul 3, 2023
- SHA
- 039552ad
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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. -->
roberta-base-Dep
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4653
- Accuracy: 0.8333
- F1: 0.8992
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: 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 |
|---|---|---|---|---|---|
| No log | 1.0 | 235 | 0.4592 | 0.8217 | 0.8911 |
| No log | 2.0 | 470 | 0.4116 | 0.845 | 0.9086 |
| 0.2907 | 3.0 | 705 | 0.4892 | 0.8133 | 0.8845 |
| 0.2907 | 4.0 | 940 | 0.4532 | 0.835 | 0.9011 |
| 0.2694 | 5.0 | 1175 | 0.4653 | 0.8333 | 0.8992 |
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 3, 2023
- Updated
- Jul 3, 2023