Downloads · 30 days
4
14% of all-time downloads
xlm-roberta-base-Final_Mixed-aug_insert_w2v
ThuyNT03/xlm-roberta-base-Final_Mixed-aug_insert_w2v
xlm-roberta-base-Final_Mixed-aug_insert_w2v 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
28
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 31, 2023
- Updated
- Aug 31, 2023
- SHA
- c56402d9
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_Mixed-aug_insert_w2v
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: 1.2934
- Accuracy: 0.69
- F1: 0.6812
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 |
|---|---|---|---|---|---|
| 1.0681 | 1.0 | 86 | 0.8840 | 0.6 | 0.4902 |
| 0.8254 | 2.0 | 172 | 0.7331 | 0.66 | 0.6453 |
| 0.6122 | 3.0 | 258 | 0.7558 | 0.73 | 0.7174 |
| 0.4162 | 4.0 | 344 | 0.8079 | 0.73 | 0.7224 |
| 0.2776 | 5.0 | 430 | 0.8615 | 0.74 | 0.7393 |
| 0.2166 | 6.0 | 516 | 1.0844 | 0.7 | 0.6916 |
| 0.1349 | 7.0 | 602 | 1.2233 | 0.7 | 0.6902 |
| 0.1239 | 8.0 | 688 | 1.2934 | 0.69 | 0.6812 |
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 31, 2023
- Updated
- Aug 31, 2023