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Hal_infoxlm-large_finetuned_2
Kuongan/Hal_infoxlm-large_finetuned_2
Hal_infoxlm-large_finetuned_2 is a text classification model from Kuongan. 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
- xlm-roberta
- Access
- Public
- Created
- Sep 25, 2025
- Updated
- Sep 25, 2025
- SHA
- 57beaa0d
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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. -->
Hal_infoxlm-large_finetuned_2
This model is a fine-tuned version of microsoft/infoxlm-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0983
- Accuracy: 0.35
- F1: 0.35
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.1117 | 1.0 | 1400 | 1.0983 | 0.35 | 0.35 |
| 1.1039 | 2.0 | 2800 | 1.1017 | 0.35 | 0.35 |
| 1.0809 | 3.0 | 4200 | 1.1117 | 0.35 | 0.35 |
| 1.108 | 4.0 | 5600 | 1.1008 | 0.35 | 0.35 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- Sep 25, 2025
- Updated
- Sep 25, 2025