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roberta-large-Dep-first
ericNguyen0132/roberta-large-Dep-first
roberta-large-Dep-first 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 4, 2023
- Updated
- Jul 6, 2023
- SHA
- e9d946a7
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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-large-Dep-first
This model is a fine-tuned version of rafalposwiata/deproberta-large-depression on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1795
- Accuracy: 0.702
- F1: 0.5706
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|
| 0.5563 | 1.0 | 751 | 0.5324 | 0.756 | 0.6188 |
| 0.4721 | 2.0 | 1502 | 0.6204 | 0.691 | 0.5874 |
| 0.3836 | 3.0 | 2253 | 0.7990 | 0.696 | 0.525 |
| 0.3245 | 4.0 | 3004 | 0.9714 | 0.694 | 0.5726 |
| 0.2795 | 5.0 | 3755 | 1.1795 | 0.702 | 0.5706 |
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 4, 2023
- Updated
- Jul 6, 2023