Downloads · 30 days
25
7% of all-time downloads
seq-classification-demo
bnunticha/seq-classification-demo
seq-classification-demo is a text classification model from bnunticha. 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
336
Public
Parameters
105M
2.9 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin421 MB · 50%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- camembert
- Access
- Public
- Created
- Oct 15, 2023
- Updated
- Nov 20, 2023
- SHA
- aca9d41a
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. -->
seq-classification-demo
This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2038
- Accuracy: 0.9199
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: 1e-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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2244 | 1.0 | 13509 | 0.2187 | 0.9153 |
| 0.2004 | 2.0 | 27018 | 0.2038 | 0.9199 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- Created
- Oct 15, 2023
- Updated
- Nov 20, 2023