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twitter-data-microsoft-deberta-base-mnli-sentiment-finetuned-memes
jayantapaul888/twitter-data-microsoft-deberta-base-mnli-sentiment-finetuned-memes
twitter-data-microsoft-deberta-base-mnli-sentiment-finetuned-memes is a text classification model from jayantapaul888. 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
- deberta
- Access
- Public
- Created
- Nov 1, 2022
- Updated
- Nov 2, 2022
- SHA
- 78fc607d
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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. -->
twitter-data-microsoft-deberta-base-mnli-sentiment-finetuned-memes
This model is a fine-tuned version of microsoft/deberta-base-mnli on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2438
- Accuracy: 0.9296
- Precision: 0.9301
- Recall: 0.9296
- F1: 0.9296
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.3622 | 1.0 | 1762 | 0.2933 | 0.9060 | 0.9065 | 0.9060 | 0.9057 |
| 0.2601 | 2.0 | 3524 | 0.2593 | 0.9194 | 0.9196 | 0.9194 | 0.9192 |
| 0.2282 | 3.0 | 5286 | 0.2365 | 0.9279 | 0.9287 | 0.9279 | 0.9280 |
| 0.1977 | 4.0 | 7048 | 0.2325 | 0.9293 | 0.9298 | 0.9293 | 0.9293 |
| 0.181 | 5.0 | 8810 | 0.2421 | 0.9291 | 0.9301 | 0.9291 | 0.9292 |
| 0.1629 | 6.0 | 10572 | 0.2438 | 0.9296 | 0.9301 | 0.9296 | 0.9296 |
Framework versions
- Transformers 4.24.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.6.1
- Tokenizers 0.13.1
- Task
- Text Classification
- Library
- transformers
- Type
- deberta
- License
- mit
- Created
- Nov 1, 2022
- Updated
- Nov 2, 2022