Downloads · 30 days
27
5% of all-time downloads
phobert-v2-finetuned-timi
nhanpv/phobert-v2-finetuned-timi
phobert-v2-finetuned-timi is a fill-mask model from nhanpv. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
493
Public
Repo size
16.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin540 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Aug 7, 2023
- Updated
- Aug 9, 2023
- SHA
- 7772896d
Try a prompt
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. -->
phobert-v2-finetuned-timi
This model is a fine-tuned version of nhanpv/phobert-v2-finetuned-timi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0430
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3847 | 1.0 | 129 | 1.1946 |
| 1.3808 | 2.0 | 258 | 1.1687 |
| 1.3896 | 3.0 | 387 | 1.1924 |
| 1.3737 | 4.0 | 516 | 1.1528 |
| 1.3285 | 5.0 | 645 | 1.0942 |
| 1.3244 | 6.0 | 774 | 1.1055 |
| 1.2762 | 7.0 | 903 | 1.0649 |
| 1.251 | 8.0 | 1032 | 1.0397 |
| 1.2462 | 9.0 | 1161 | 1.0636 |
| 1.2425 | 10.0 | 1290 | 1.0430 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Aug 7, 2023
- Updated
- Aug 9, 2023