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crossencoder-airline-refine-010
pjbhaumik/crossencoder-airline-refine-010
crossencoder-airline-refine-010 is a text classification model from pjbhaumik. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Feb 22, 2024
- Updated
- Feb 22, 2024
- SHA
- b5fe9c72
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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. -->
crossencoder-airline-refine-010
This model is a fine-tuned version of cross-encoder/stsb-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 8.0523
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-08
- 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: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 15.341 | 1.0 | 157 | 14.5631 |
| 12.2879 | 2.0 | 314 | 13.3058 |
| 12.5681 | 3.0 | 471 | 11.4717 |
| 12.8002 | 4.0 | 628 | 9.8398 |
| 10.1409 | 5.0 | 785 | 8.8337 |
| 9.4818 | 6.0 | 942 | 8.1771 |
| 9.277 | 7.0 | 1099 | 7.7594 |
| 9.2643 | 8.0 | 1256 | 7.5311 |
| 8.7124 | 9.0 | 1413 | 7.4428 |
| 8.9775 | 10.0 | 1570 | 7.4347 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.0.1
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Feb 22, 2024
- Updated
- Feb 22, 2024