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N_roberta_twitterfin_padding20model
Realgon/N_roberta_twitterfin_padding20model
N_roberta_twitterfin_padding20model is a text classification model from Realgon. 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
- Dec 25, 2023
- Updated
- Dec 25, 2023
- SHA
- 60d5827d
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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. -->
N_roberta_twitterfin_padding20model
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9240
- Accuracy: 0.9079
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: 2e-05
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5487 | 1.0 | 597 | 0.3240 | 0.8769 |
| 0.304 | 2.0 | 1194 | 0.2679 | 0.9037 |
| 0.2471 | 3.0 | 1791 | 0.3491 | 0.9012 |
| 0.1868 | 4.0 | 2388 | 0.4564 | 0.8999 |
| 0.1591 | 5.0 | 2985 | 0.5265 | 0.8920 |
| 0.0871 | 6.0 | 3582 | 0.5935 | 0.8945 |
| 0.0715 | 7.0 | 4179 | 0.6186 | 0.9020 |
| 0.0591 | 8.0 | 4776 | 0.7599 | 0.8936 |
| 0.0458 | 9.0 | 5373 | 0.7605 | 0.8932 |
| 0.0454 | 10.0 | 5970 | 0.7508 | 0.9070 |
| 0.0298 | 11.0 | 6567 | 0.8410 | 0.8903 |
| 0.0187 | 12.0 | 7164 | 0.8508 | 0.8987 |
| 0.0255 | 13.0 | 7761 | 0.8590 | 0.9024 |
| 0.0152 | 14.0 | 8358 | 0.9083 | 0.9033 |
| 0.0125 | 15.0 | 8955 | 0.8954 | 0.8974 |
| 0.0157 | 16.0 | 9552 | 0.9223 | 0.8970 |
| 0.0042 | 17.0 | 10149 | 0.9276 | 0.9049 |
| 0.0087 | 18.0 | 10746 | 0.9098 | 0.9079 |
| 0.004 | 19.0 | 11343 | 0.9121 | 0.9075 |
| 0.0069 | 20.0 | 11940 | 0.9240 | 0.9079 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 25, 2023
- Updated
- Dec 25, 2023