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twitter-roberta-large-go-emotions
Prasadrao/twitter-roberta-large-go-emotions
twitter-roberta-large-go-emotions is a text classification model from Prasadrao. 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
- Feb 26, 2024
- Updated
- Feb 27, 2024
- SHA
- 761c7ec3
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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. -->
twitter-roberta-large-go-emotions
This model is a fine-tuned version of cardiffnlp/twitter-roberta-large-2022-154m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0816
- Accuracy: 0.4644
- Precision: 0.5709
- Recall: 0.5184
- F1: 0.5123
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: 128
- eval_batch_size: 128
- 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 | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 340 | 0.0889 | 0.4342 | 0.4653 | 0.4303 | 0.4243 |
| 0.1082 | 2.0 | 680 | 0.0819 | 0.4521 | 0.5253 | 0.4991 | 0.4856 |
| 0.1082 | 3.0 | 1020 | 0.0816 | 0.4644 | 0.5709 | 0.5184 | 0.5123 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Feb 26, 2024
- Updated
- Feb 27, 2024