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roberta-reranker-f-cf
iestynmullinor/roberta-reranker-f-cf
roberta-reranker-f-cf is a text classification model from iestynmullinor. 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
- Mar 12, 2024
- Updated
- Mar 12, 2024
- SHA
- 5683c980
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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-reranker-f-cf
This model is a fine-tuned version of iestynmullinor/roberta-reranker-fever-better on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2589
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2984 | 1.0 | 644 | 0.2589 |
| 0.2517 | 2.0 | 1288 | 0.2949 |
| 0.1034 | 3.0 | 1932 | 0.2619 |
| 0.0823 | 4.0 | 2576 | 0.3714 |
| 0.0614 | 5.0 | 3220 | 0.3856 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 12, 2024
- Updated
- Mar 12, 2024