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twitter-xlm-roberta-finetuned-class
tonitt97/twitter-xlm-roberta-finetuned-class
twitter-xlm-roberta-finetuned-class is a text classification model from tonitt97. 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
- xlm-roberta
- Access
- Public
- Created
- Jan 8, 2024
- Updated
- Jan 8, 2024
- SHA
- 466e296a
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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-xlm-roberta-finetuned-class
This model is a fine-tuned version of cardiffnlp/twitter-xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7774
- F1: 0.7098
- Recall: 0.7333
- Accuracy: 0.7195
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: 1.7197827530913808e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 101
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Recall | Accuracy |
|---|---|---|---|---|---|---|
| 0.9152 | 1.44 | 500 | 0.7553 | 0.7047 | 0.7156 | 0.7195 |
| 0.5205 | 2.87 | 1000 | 0.7774 | 0.7098 | 0.7333 | 0.7195 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Jan 8, 2024
- Updated
- Jan 8, 2024