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Roberta-capstone_2
gArthur98/Roberta-capstone_2
Roberta-capstone_2 is a text classification model from gArthur98. 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
- Sep 3, 2023
- Updated
- Sep 3, 2023
- SHA
- 37f0728f
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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. -->
Roberta-capstone_2
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4013
- Accuracy: 0.9206
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-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 |
|---|---|---|---|---|
| 0.3164 | 1.0 | 625 | 0.2393 | 0.9086 |
| 0.2111 | 2.0 | 1250 | 0.2155 | 0.916 |
| 0.1568 | 3.0 | 1875 | 0.3493 | 0.9136 |
| 0.0714 | 4.0 | 2500 | 0.3669 | 0.9192 |
| 0.0398 | 5.0 | 3125 | 0.4013 | 0.9206 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Sep 3, 2023
- Updated
- Sep 3, 2023