Downloads · 30 days
4
1% of all-time downloads
my_awesome_eli5_mlm_model
Capstone-lpx/my_awesome_eli5_mlm_model
my_awesome_eli5_mlm_model is a fill-mask model from Capstone-lpx. 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
Parameters
108M
1.2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors433 MB · 100%
At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jan 30, 2024
- Updated
- Feb 5, 2024
- SHA
- 39429bfd
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. -->
my_awesome_eli5_mlm_model
This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5349
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 38 | 3.3747 |
| No log | 2.0 | 76 | 3.1852 |
| No log | 3.0 | 114 | 3.0839 |
| No log | 4.0 | 152 | 3.1410 |
| No log | 5.0 | 190 | 3.0394 |
| No log | 6.0 | 228 | 3.0631 |
| No log | 7.0 | 266 | 3.1484 |
| No log | 8.0 | 304 | 2.7834 |
| No log | 9.0 | 342 | 2.9527 |
| No log | 10.0 | 380 | 3.2091 |
| No log | 11.0 | 418 | 3.0497 |
| No log | 12.0 | 456 | 2.7234 |
| No log | 13.0 | 494 | 2.7865 |
| 2.8163 | 14.0 | 532 | 2.5425 |
| 2.8163 | 15.0 | 570 | 2.9351 |
| 2.8163 | 16.0 | 608 | 2.9367 |
| 2.8163 | 17.0 | 646 | 3.0570 |
| 2.8163 | 18.0 | 684 | 2.8902 |
| 2.8163 | 19.0 | 722 | 2.8285 |
| 2.8163 | 20.0 | 760 | 3.1220 |
| 2.8163 | 21.0 | 798 | 2.5891 |
| 2.8163 | 22.0 | 836 | 2.7217 |
| 2.8163 | 23.0 | 874 | 2.8660 |
| 2.8163 | 24.0 | 912 | 2.9048 |
| 2.8163 | 25.0 | 950 | 2.5349 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 30, 2024
- Updated
- Feb 5, 2024