Downloads · 30 days
11
23% of all-time downloads
CS505-L2T_AP2_filter2_CSI-PhoBERT
ThuyNT03/CS505-L2T_AP2_filter2_CSI-PhoBERT
CS505-L2T_AP2_filter2_CSI-PhoBERT 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
48
Public
Parameters
135M
8.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors540 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Mar 23, 2024
- Updated
- Mar 23, 2024
- SHA
- ab5e8115
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. -->
CS505-L2T_AP2_filter2_CSI-PhoBERT
This model is a fine-tuned version of vinai/phobert-base-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0010
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: 8
- seed: 41
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 330 | 0.1753 |
| 0.2791 | 1.99 | 660 | 0.1593 |
| 0.2791 | 2.99 | 990 | 0.0991 |
| 0.1397 | 3.99 | 1320 | 0.0632 |
| 0.0685 | 4.98 | 1650 | 0.0173 |
| 0.0685 | 5.98 | 1980 | 0.0309 |
| 0.0394 | 6.98 | 2310 | 0.0055 |
| 0.0202 | 7.98 | 2640 | 0.0055 |
| 0.0202 | 8.97 | 2970 | 0.0057 |
| 0.0108 | 9.97 | 3300 | 0.0047 |
| 0.0098 | 10.97 | 3630 | 0.0042 |
| 0.0098 | 11.96 | 3960 | 0.0016 |
| 0.0039 | 12.96 | 4290 | 0.0025 |
| 0.0039 | 13.96 | 4620 | 0.0023 |
| 0.0039 | 14.95 | 4950 | 0.0010 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Mar 23, 2024
- Updated
- Mar 23, 2024