Downloads · 30 days
7
27% of all-time downloads
xlm-roberta-base-sun
FrinzTheCoder/xlm-roberta-base-sun
xlm-roberta-base-sun is a text classification model from FrinzTheCoder. 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
26
Public
Parameters
278M
1.1 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
- Jan 18, 2025
- Updated
- Jan 18, 2025
- SHA
- 9cf13292
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-sun
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: 0.1042
- Accuracy: 0.7901
- F1 Binary: 0.6199
- Precision: 0.5413
- Recall: 0.7252
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: 3e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch 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: 13
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Binary | Precision | Recall |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 139 | 0.1393 | 0.8405 | 0.6040 | 0.7297 | 0.5153 |
| No log | 2.0 | 278 | 0.1198 | 0.8297 | 0.6441 | 0.6357 | 0.6527 |
| No log | 3.0 | 417 | 0.1062 | 0.8009 | 0.6286 | 0.5616 | 0.7137 |
| 0.1037 | 4.0 | 556 | 0.1042 | 0.7901 | 0.6199 | 0.5413 | 0.7252 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 18, 2025
- Updated
- Jan 18, 2025