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KLTN_CSI_xlm
ThuyNT03/KLTN_CSI_xlm
KLTN_CSI_xlm is a text classification model from ThuyNT03. 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
- xlm-roberta
- Access
- Public
- Created
- Jan 29, 2024
- Updated
- Jan 29, 2024
- SHA
- e57413a2
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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. -->
KLTN_CSI_xlm
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0086
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 41
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 369 | 0.1818 |
| 0.3102 | 2.0 | 738 | 0.1137 |
| 0.1924 | 3.0 | 1107 | 0.0781 |
| 0.1924 | 4.0 | 1476 | 0.0495 |
| 0.1345 | 5.0 | 1845 | 0.0299 |
| 0.0815 | 6.0 | 2214 | 0.0810 |
| 0.0574 | 7.0 | 2583 | 0.0148 |
| 0.0574 | 8.0 | 2952 | 0.0090 |
| 0.0324 | 9.0 | 3321 | 0.0096 |
| 0.0131 | 10.0 | 3690 | 0.0086 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 29, 2024
- Updated
- Jan 29, 2024