Downloads · 30 days
3
13% of all-time downloads
xlm-roberta-base-part1
Alamin2230/xlm-roberta-base-part1
xlm-roberta-base-part1 is a text classification model from Alamin2230. 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
24
Public
Parameters
278M
8.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.1 GB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jun 27, 2026
- Updated
- Jun 27, 2026
- SHA
- c20977ea
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. -->
xlm-roberta-base-part1
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: 0.0277
- F1: 0.9767
- Precision: 0.9722
- Recall: 0.9813
- Fpr: 0.03
- Fnr: 0.0187
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: 16
- eval_batch_size: 16
- 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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Fpr | Fnr |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 207 | 0.0349 | 0.9575 | 0.9644 | 0.9508 | 0.0375 | 0.0492 |
| No log | 2.0 | 414 | 0.0251 | 0.9753 | 0.9788 | 0.9719 | 0.0225 | 0.0281 |
| 0.0448 | 3.0 | 621 | 0.0256 | 0.9778 | 0.9744 | 0.9813 | 0.0275 | 0.0187 |
| 0.0448 | 4.0 | 828 | 0.0277 | 0.9767 | 0.9722 | 0.9813 | 0.03 | 0.0187 |
Framework versions
- Transformers 5.12.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jun 27, 2026
- Updated
- Jun 27, 2026