Downloads · 30 days
13
23% of all-time downloads
xlm-roberta-base-vmw-finetuned
Kuongan/xlm-roberta-base-vmw-finetuned
xlm-roberta-base-vmw-finetuned is a text classification model from Kuongan. 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
57
Public
Parameters
278M
3.4 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 29, 2025
- Updated
- Jan 29, 2025
- SHA
- fea3e8d6
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-vmw-finetuned
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: 0.2947
- F1: 0.0
- Roc Auc: 0.5
- Accuracy: 0.4612
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
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.3701 | 1.0 | 67 | 0.2947 | 0.0 | 0.5 | 0.4612 |
| 0.3061 | 2.0 | 134 | 0.2930 | 0.0 | 0.5 | 0.4612 |
| 0.3001 | 3.0 | 201 | 0.2934 | 0.0 | 0.5 | 0.4612 |
| 0.2923 | 4.0 | 268 | 0.2916 | 0.0 | 0.5 | 0.4612 |
| 0.2904 | 5.0 | 335 | 0.2919 | 0.0 | 0.5 | 0.4612 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 29, 2025
- Updated
- Jan 29, 2025