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llm-klue-roberta-base
jeonseonjin/llm-klue-roberta-base
llm-klue-roberta-base is a machine learning model from jeonseonjin. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- roberta
- Access
- Public
- Created
- Sep 22, 2024
- Updated
- Sep 22, 2024
- SHA
- c5f4b902
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. -->
llm-klue-roberta-base
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: 0.6965
- Accuracy: 0.845
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
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3001 | 1.0 | 1250 | 0.7603 | 0.841 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.4.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Type
- roberta
- Created
- Sep 22, 2024
- Updated
- Sep 22, 2024