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fine_tuning_roberta_model
YuHannn/fine_tuning_roberta_model
fine_tuning_roberta_model is a text classification model from YuHannn. 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
- Nov 8, 2023
- Updated
- Nov 9, 2023
- SHA
- 1b64242b
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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. -->
fine_tuning_roberta_model
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-sentiment-latest on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1741
- Rmse: 0.6882
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rmse |
|---|---|---|---|---|
| 0.5085 | 1.0 | 5 | 0.6268 | 0.7255 |
| 0.2562 | 2.0 | 10 | 0.6686 | 0.7255 |
| 0.1496 | 3.0 | 15 | 0.6989 | 0.5620 |
| 0.0934 | 4.0 | 20 | 1.0044 | 0.6882 |
| 0.1224 | 5.0 | 25 | 1.1798 | 0.7255 |
| 0.0561 | 6.0 | 30 | 1.1906 | 0.6882 |
| 0.0207 | 7.0 | 35 | 1.1774 | 0.6882 |
| 0.0417 | 8.0 | 40 | 1.1551 | 0.6882 |
| 0.0131 | 9.0 | 45 | 1.1628 | 0.6882 |
| 0.0134 | 10.0 | 50 | 1.1741 | 0.6882 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cpu
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Nov 8, 2023
- Updated
- Nov 9, 2023