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infoxlm_MKA
MertAslan/infoxlm_MKA
infoxlm_MKA is a text classification model from MertAslan. 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
- May 7, 2025
- Updated
- May 8, 2025
- SHA
- 707df6a5
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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. -->
infoxlm_MKA
This model is a fine-tuned version of microsoft/infoxlm-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2653
- Accuracy: 0.9174
- Precision: 0.9168
- Recall: 0.9181
- F1: 0.9174
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: 128
- eval_batch_size: 64
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.3668 | 1.0 | 782 | 0.2478 | 0.9016 | 0.9100 | 0.8914 | 0.9006 |
| 0.2637 | 2.0 | 1564 | 0.2344 | 0.9098 | 0.9146 | 0.904 | 0.9093 |
| 0.2277 | 3.0 | 2346 | 0.2286 | 0.9125 | 0.9064 | 0.92 | 0.9132 |
| 0.1995 | 4.0 | 3128 | 0.2299 | 0.9132 | 0.9089 | 0.9185 | 0.9137 |
| 0.1804 | 5.0 | 3910 | 0.2225 | 0.9164 | 0.9205 | 0.9116 | 0.9160 |
| 0.1643 | 6.0 | 4692 | 0.2443 | 0.9153 | 0.9078 | 0.9245 | 0.9161 |
| 0.1488 | 7.0 | 5474 | 0.2499 | 0.9162 | 0.9166 | 0.9157 | 0.9161 |
| 0.136 | 8.0 | 6256 | 0.2534 | 0.9156 | 0.9146 | 0.9167 | 0.9157 |
| 0.1263 | 9.0 | 7038 | 0.2629 | 0.916 | 0.9132 | 0.9194 | 0.9163 |
| 0.1206 | 10.0 | 7820 | 0.2653 | 0.9174 | 0.9168 | 0.9181 | 0.9174 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- Created
- May 7, 2025
- Updated
- May 8, 2025