Downloads · 30 days
7
17% of all-time downloads
xlm-roberta-base-Final_VietNam-aug_insert_BERT-1
ThuyNT03/xlm-roberta-base-Final_VietNam-aug_insert_BERT-1
xlm-roberta-base-Final_VietNam-aug_insert_BERT-1 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
41
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 7, 2023
- SHA
- ed77991c
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_insert_BERT-1
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: 1.3341
- Accuracy: 0.67
- F1: 0.6755
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: 41
- 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 |
|---|---|---|---|---|---|
| 1.0115 | 1.0 | 87 | 0.8610 | 0.61 | 0.5566 |
| 0.7417 | 2.0 | 174 | 0.7207 | 0.7 | 0.6969 |
| 0.6031 | 3.0 | 261 | 0.6915 | 0.75 | 0.7488 |
| 0.4368 | 4.0 | 348 | 0.8041 | 0.73 | 0.7358 |
| 0.3308 | 5.0 | 435 | 1.0670 | 0.65 | 0.6541 |
| 0.2463 | 6.0 | 522 | 1.0742 | 0.68 | 0.6881 |
| 0.1811 | 7.0 | 609 | 1.2753 | 0.68 | 0.6865 |
| 0.1364 | 8.0 | 696 | 1.3341 | 0.67 | 0.6755 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Sep 4, 2023
- Updated
- Sep 7, 2023