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xlmr_experiment
SasmithaLochana/xlmr_experiment
xlmr_experiment is a text classification model from SasmithaLochana. 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
- Mar 22, 2026
- Updated
- Mar 25, 2026
- SHA
- c807faf7
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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. -->
xlmr_experiment
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: 0.5843
- Accuracy: 0.8961
- F1: 0.9086
- Precision: 0.9485
- Recall: 0.872
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 5.6500 | 0.6319 | 100 | 1.2349 | 0.7282 | 0.7958 | 0.7171 | 0.894 |
| 4.4099 | 1.2591 | 200 | 1.0472 | 0.7598 | 0.7743 | 0.8735 | 0.6953 |
| 3.6862 | 1.8910 | 300 | 0.7443 | 0.8471 | 0.8738 | 0.8551 | 0.8933 |
| 2.7468 | 2.5182 | 400 | 0.5972 | 0.8819 | 0.8990 | 0.9110 | 0.8873 |
| 2.3632 | 3.1453 | 500 | 0.5091 | 0.9012 | 0.9160 | 0.9234 | 0.9087 |
| 1.7778 | 3.7773 | 600 | 0.4864 | 0.9087 | 0.9210 | 0.9453 | 0.898 |
| 1.3475 | 4.4044 | 700 | 0.4459 | 0.9202 | 0.9315 | 0.9482 | 0.9153 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Mar 22, 2026
- Updated
- Mar 25, 2026