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roberta-finetuned-inspirational
reecursion123/roberta-finetuned-inspirational
roberta-finetuned-inspirational is a text classification model from reecursion123. 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
- xlm-roberta
- Access
- Public
- Created
- Apr 11, 2024
- Updated
- Apr 11, 2024
- SHA
- feb25227
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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. -->
roberta-finetuned-inspirational
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1617
- F1: 0.9683
- Roc Auc: 0.9622
- Accuracy: 0.9125
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.312 | 1.0 | 600 | 0.2784 | 0.9053 | 0.8878 | 0.7333 |
| 0.1656 | 2.0 | 1200 | 0.1670 | 0.9468 | 0.9348 | 0.8542 |
| 0.0967 | 3.0 | 1800 | 0.1803 | 0.9585 | 0.9504 | 0.8865 |
| 0.0685 | 4.0 | 2400 | 0.1694 | 0.9639 | 0.9568 | 0.9021 |
| 0.0286 | 5.0 | 3000 | 0.1617 | 0.9683 | 0.9622 | 0.9125 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Apr 11, 2024
- Updated
- Apr 11, 2024