Downloads · 30 days
7
12% of all-time downloads
distilbert-base-uncased-issues-128
Chrispfield/distilbert-base-uncased-issues-128
distilbert-base-uncased-issues-128 is a fill-mask model from Chrispfield. 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
58
Public
Repo size
804 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin268 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Aug 26, 2022
- Updated
- Aug 26, 2022
- SHA
- 71e9c305
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. -->
distilbert-base-uncased-issues-128
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7582
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4041 | 1.0 | 8 | 1.8568 |
| 2.1982 | 2.0 | 16 | 2.0790 |
| 1.7184 | 3.0 | 24 | 1.9246 |
| 1.7248 | 4.0 | 32 | 1.8485 |
| 1.5016 | 5.0 | 40 | 1.8484 |
| 1.4943 | 6.0 | 48 | 1.8691 |
| 1.526 | 7.0 | 56 | 1.7582 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Aug 26, 2022
- Updated
- Aug 26, 2022