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Roberta-classweight-Sentiment-classifier
gArthur98/Roberta-classweight-Sentiment-classifier
Roberta-classweight-Sentiment-classifier 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
- Jul 23, 2023
- Updated
- Jul 23, 2023
- SHA
- 939b0c06
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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-classweight-Sentiment-classifier
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8656
- F1: 0.6449
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.9827 | 0.5 | 500 | 0.8890 | 0.6395 |
| 0.9185 | 1.0 | 1000 | 0.8708 | 0.6449 |
| 0.8998 | 1.5 | 1500 | 0.8673 | 0.6449 |
| 0.8792 | 2.01 | 2000 | 0.8648 | 0.6449 |
| 0.8877 | 2.51 | 2500 | 0.8656 | 0.6449 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Jul 23, 2023
- Updated
- Jul 23, 2023