Downloads · 30 days
6
13% of all-time downloads
xlmr_immigration_combo18_0
AnonymousCS/xlmr_immigration_combo18_0
xlmr_immigration_combo18_0 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
45
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
- 1c654e0f
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_combo18_0
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: 0.2652
- Accuracy: 0.9152
- 1-f1: 0.8690
- 1-recall: 0.8456
- 1-precision: 0.8939
- Balanced Acc: 0.8977
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 |
|---|---|---|---|---|---|---|---|---|
| 0.6283 | 1.0 | 25 | 0.6206 | 0.6658 | 0.0076 | 0.0039 | 0.3333 | 0.5000 |
| 0.5043 | 2.0 | 50 | 0.4888 | 0.6671 | 0.0 | 0.0 | 0.0 | 0.5 |
| 0.261 | 3.0 | 75 | 0.2532 | 0.9075 | 0.8543 | 0.8147 | 0.8979 | 0.8842 |
| 0.2243 | 4.0 | 100 | 0.2381 | 0.9177 | 0.8730 | 0.8494 | 0.8980 | 0.9006 |
| 0.2341 | 5.0 | 125 | 0.2816 | 0.8972 | 0.8491 | 0.8687 | 0.8303 | 0.8900 |
| 0.1879 | 6.0 | 150 | 0.2652 | 0.9152 | 0.8690 | 0.8456 | 0.8939 | 0.8977 |
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