Downloads · 30 days
4
9% of all-time downloads
xlmr_immigration_combo15_1
AnonymousCS/xlmr_immigration_combo15_1
xlmr_immigration_combo15_1 is a text classification model from AnonymousCS. 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. --
All-time downloads
43
Public
Parameters
560M
2.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.2 GB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Aug 20, 2025
- Updated
- Aug 20, 2025
- SHA
- fd8e8cde
Try a prompt
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_immigration_combo15_1
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2344
- Accuracy: 0.9332
- 1-f1: 0.8988
- 1-recall: 0.8919
- 1-precision: 0.9059
- Balanced Acc: 0.9228
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: 128
- eval_batch_size: 128
- seed: 42
- 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
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | 1-f1 | 1-recall | 1-precision | Balanced Acc |
|---|---|---|---|---|---|---|---|---|
| 0.2363 | 1.0 | 25 | 0.2027 | 0.9370 | 0.9037 | 0.8880 | 0.92 | 0.9247 |
| 0.1495 | 2.0 | 50 | 0.2058 | 0.9332 | 0.8972 | 0.8764 | 0.9190 | 0.9190 |
| 0.1553 | 3.0 | 75 | 0.2344 | 0.9332 | 0.8988 | 0.8919 | 0.9059 | 0.9228 |
Framework versions
- Transformers 4.56.0.dev0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Aug 20, 2025
- Updated
- Aug 20, 2025