Downloads · 30 days
6
2% of all-time downloads
bert-base-uncased-issues-128
Shenghao1993/bert-base-uncased-issues-128
bert-base-uncased-issues-128 is a fill-mask model from Shenghao1993. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
351
Public
Repo size
876 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin438 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Aug 13, 2022
- Updated
- Aug 13, 2022
- SHA
- 3ffa015d
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. -->
bert-base-uncased-issues-128
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2503
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0976 | 1.0 | 291 | 1.7064 |
| 1.6388 | 2.0 | 582 | 1.4335 |
| 1.4846 | 3.0 | 873 | 1.3750 |
| 1.4003 | 4.0 | 1164 | 1.3749 |
| 1.3393 | 5.0 | 1455 | 1.1970 |
| 1.2848 | 6.0 | 1746 | 1.2826 |
| 1.2385 | 7.0 | 2037 | 1.2652 |
| 1.1974 | 8.0 | 2328 | 1.2158 |
| 1.1653 | 9.0 | 2619 | 1.1808 |
| 1.142 | 10.0 | 2910 | 1.2091 |
| 1.13 | 11.0 | 3201 | 1.2147 |
| 1.1051 | 12.0 | 3492 | 1.1668 |
| 1.0802 | 13.0 | 3783 | 1.2550 |
| 1.0781 | 14.0 | 4074 | 1.1659 |
| 1.0644 | 15.0 | 4365 | 1.1272 |
| 1.0618 | 16.0 | 4656 | 1.2503 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Aug 13, 2022
- Updated
- Aug 13, 2022