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KUCI_xlm_roberta_base_Finetuned
Ariffiq99/KUCI_xlm_roberta_base_Finetuned
KUCI_xlm_roberta_base_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
- May 26, 2024
- Updated
- May 26, 2024
- SHA
- be2b930e
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_xlm_roberta_base_Finetuned
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0342
- F1: 0.7762
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.6869 | 1.0 | 5196 | 0.6337 | 0.7446 |
| 0.5599 | 2.0 | 10392 | 0.6582 | 0.7644 |
| 0.462 | 3.0 | 15588 | 0.6245 | 0.7705 |
| 0.358 | 4.0 | 20784 | 0.7001 | 0.7736 |
| 0.2786 | 5.0 | 25980 | 0.7545 | 0.7765 |
| 0.2248 | 6.0 | 31176 | 0.9416 | 0.7776 |
| 0.1889 | 7.0 | 36372 | 1.0342 | 0.7762 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- multiple choice
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- May 26, 2024
- Updated
- May 26, 2024