Downloads · 30 days
5
2% of all-time downloads
xlm-roberta-base-New_VietNam-aug_insert_w2v-1
ThuyNT03/xlm-roberta-base-New_VietNam-aug_insert_w2v-1
xlm-roberta-base-New_VietNam-aug_insert_w2v-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
325
Public
Repo size
3.4 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
- Aug 29, 2023
- Updated
- Aug 29, 2023
- SHA
- 31cdf15d
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-New_VietNam-aug_insert_w2v-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: 1.1019
- Accuracy: 0.69
- F1: 0.6966
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: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.0584 | 1.0 | 84 | 0.8836 | 0.63 | 0.5501 |
| 0.7952 | 2.0 | 168 | 0.7148 | 0.63 | 0.6149 |
| 0.5986 | 3.0 | 252 | 0.7983 | 0.67 | 0.6755 |
| 0.4617 | 4.0 | 336 | 0.7260 | 0.71 | 0.7178 |
| 0.3586 | 5.0 | 420 | 0.8914 | 0.68 | 0.6893 |
| 0.2778 | 6.0 | 504 | 0.9229 | 0.71 | 0.7143 |
| 0.1973 | 7.0 | 588 | 1.0633 | 0.71 | 0.7149 |
| 0.1462 | 8.0 | 672 | 1.1019 | 0.69 | 0.6966 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Aug 29, 2023
- Updated
- Aug 29, 2023