Downloads · 30 days
13
31% of all-time downloads
xlm-roberta-base-chn-finetuned-augmentation-LUNAR-chn-MICRO
sercetexam9/xlm-roberta-base-chn-finetuned-augmentation-LUNAR-chn-MICRO
xlm-roberta-base-chn-finetuned-augmentation-LUNAR-chn-MICRO is a text classification model from sercetexam9. 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
42
Public
Parameters
278M
11.1 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 30, 2025
- Updated
- Jan 30, 2025
- SHA
- e0a7afe6
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-chn-finetuned-augmentation-LUNAR-chn-MICRO
This model is a fine-tuned version of sercetexam9/xlm-roberta-base-chn-finetuned-augmentation-LUNAR on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0721
- F1: 0.9439
- Roc Auc: 0.9613
- Accuracy: 0.8970
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| 0.0547 | 1.0 | 858 | 0.0721 | 0.9439 | 0.9613 | 0.8970 |
| 0.0284 | 2.0 | 1716 | 0.0935 | 0.9337 | 0.9567 | 0.8806 |
| 0.0136 | 3.0 | 2574 | 0.0891 | 0.9413 | 0.9597 | 0.8952 |
| 0.0123 | 4.0 | 3432 | 0.1271 | 0.9188 | 0.9364 | 0.8596 |
| 0.0032 | 5.0 | 4290 | 0.1129 | 0.9336 | 0.9560 | 0.8788 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 30, 2025
- Updated
- Jan 30, 2025