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roberta-base-airlines-news
dahe827/roberta-base-airlines-news
roberta-base-airlines-news is a text classification model from dahe827. 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
- Apr 1, 2024
- Updated
- Apr 2, 2024
- SHA
- 7fbd69e1
Try a prompt
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-base-airlines-news
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8968
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: 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8846 | 1.0 | 71 | 1.6836 |
| 1.7299 | 2.0 | 142 | 1.4282 |
| 1.2624 | 3.0 | 213 | 1.0193 |
| 0.6756 | 4.0 | 284 | 0.8968 |
| 0.5785 | 5.0 | 355 | 1.0589 |
| 0.2575 | 6.0 | 426 | 1.4967 |
| 0.3692 | 7.0 | 497 | 1.4937 |
| 0.0392 | 8.0 | 568 | 1.3115 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 1, 2024
- Updated
- Apr 2, 2024