Downloads · 30 days
18
6% of all-time downloads
phobert-base-finetuned-vbert
dung1308/phobert-base-finetuned-vbert
phobert-base-finetuned-vbert is a fill-mask model from dung1308. Use it when you need the model to fill a missing word. It is set up for transformers.
probably proofread and complete it, then remove this comment. --
All-time downloads
303
Public
Repo size
1.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.h5738 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Nov 21, 2022
- Updated
- Nov 21, 2022
- SHA
- 01d5d525
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
dung1308/phobert-base-finetuned-vbert
This model is a fine-tuned version of vinai/phobert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 4.3312
- Validation Loss: 3.8888
- Epoch: 0
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 4.3312 | 3.8888 | 0 |
Framework versions
- Transformers 4.18.0
- TensorFlow 2.8.0
- Datasets 2.7.0
- Tokenizers 0.11.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Nov 21, 2022
- Updated
- Nov 21, 2022