Downloads · 30 days
9
20% of all-time downloads
xlm-roberta-base-Final_VietNam-aug_replace_tfidf-2
ThuyNT03/xlm-roberta-base-Final_VietNam-aug_replace_tfidf-2
xlm-roberta-base-Final_VietNam-aug_replace_tfidf-2 is a text classification model from ThuyNT03. 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
44
Public
Repo size
5.6 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.1 GB · 98%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Sep 4, 2023
- Updated
- Sep 5, 2023
- SHA
- 83749d93
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-Final_VietNam-aug_replace_tfidf-2
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: 0.8468
- Accuracy: 0.69
- F1: 0.6959
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: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.0982 | 1.0 | 87 | 0.9995 | 0.47 | 0.4137 |
| 0.8884 | 2.0 | 174 | 0.7521 | 0.65 | 0.6032 |
| 0.7533 | 3.0 | 261 | 0.7130 | 0.64 | 0.6364 |
| 0.6259 | 4.0 | 348 | 0.7598 | 0.68 | 0.6865 |
| 0.5278 | 5.0 | 435 | 0.7066 | 0.7 | 0.7053 |
| 0.4336 | 6.0 | 522 | 0.7901 | 0.7 | 0.7060 |
| 0.3516 | 7.0 | 609 | 0.8106 | 0.69 | 0.6976 |
| 0.2859 | 8.0 | 696 | 0.8468 | 0.69 | 0.6959 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Sep 4, 2023
- Updated
- Sep 5, 2023