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KUCI_e_care_CRAB_xlm_roberta_large_Finetuned
Ariffiq99/KUCI_e_care_CRAB_xlm_roberta_large_Finetuned
KUCI_e_care_CRAB_xlm_roberta_large_Finetuned is a multiple choice model from Ariffiq99. Use it for the multiple choice task on the model card, and read the license before you ship it in a product. 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
- multiple choice
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jun 12, 2024
- Updated
- Jun 12, 2024
- SHA
- 94670f95
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. -->
KUCI_e_care_CRAB_xlm_roberta_large_Finetuned
This model is a fine-tuned version of Ariffiq99/e_care_CRAB_xlm_roberta_large_finetuned on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6119
- F1: 0.8458
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: 1e-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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.478 | 1.0 | 5196 | 0.4441 | 0.8289 |
| 0.317 | 2.0 | 10392 | 0.4769 | 0.8402 |
| 0.2032 | 3.0 | 15588 | 0.6119 | 0.8458 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- multiple choice
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jun 12, 2024
- Updated
- Jun 12, 2024