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results
iamkeen/results
results is a text classification model from iamkeen. 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
- roberta
- Access
- Public
- Created
- Nov 1, 2024
- Updated
- Nov 1, 2024
- SHA
- f5ce4b3e
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. -->
results
This model is a fine-tuned version of klue/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4409
- Acc: 0.849
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc |
|---|---|---|---|---|
| 0.5629 | 1.0 | 625 | 0.4866 | 0.835 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.0
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Nov 1, 2024
- Updated
- Nov 1, 2024