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twitter-roberta-base-emotion-finetuned-wnli
sujatha2502/twitter-roberta-base-emotion-finetuned-wnli
twitter-roberta-base-emotion-finetuned-wnli is a text classification model from sujatha2502. 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
- Oct 3, 2022
- Updated
- Oct 7, 2022
- SHA
- 60eab614
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Datasets
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-roberta-base-emotion-finetuned-wnli
This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-emotion on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 0.6983
- Accuracy: 0.5634
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: 32
- eval_batch_size: 32
- 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 | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 20 | 0.6983 | 0.5634 |
| No log | 2.0 | 40 | 0.7132 | 0.3380 |
| No log | 3.0 | 60 | 0.7104 | 0.3380 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Oct 3, 2022
- Updated
- Oct 7, 2022