Downloads · 30 days
5
21% of all-time downloads
bert-base-uncased-issues-128
imp123/bert-base-uncased-issues-128
bert-base-uncased-issues-128 is a machine learning model from imp123. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
24
Public
Parameters
110M
438 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors438 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Sep 2, 2024
- Updated
- Sep 3, 2024
- SHA
- ef1362f7
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. -->
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: 1.2330
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 |
|---|---|---|---|
| 2.1035 | 1.0 | 291 | 1.7061 |
| 1.6317 | 2.0 | 582 | 1.5071 |
| 1.4971 | 3.0 | 873 | 1.3600 |
| 1.3955 | 4.0 | 1164 | 1.3393 |
| 1.3299 | 5.0 | 1455 | 1.2405 |
| 1.2871 | 6.0 | 1746 | 1.3681 |
| 1.2325 | 7.0 | 2037 | 1.2985 |
| 1.2023 | 8.0 | 2328 | 1.3442 |
| 1.1691 | 9.0 | 2619 | 1.2195 |
| 1.1434 | 10.0 | 2910 | 1.1827 |
| 1.1251 | 11.0 | 3201 | 1.1261 |
| 1.1113 | 12.0 | 3492 | 1.1707 |
| 1.0868 | 13.0 | 3783 | 1.2133 |
| 1.0749 | 14.0 | 4074 | 1.2199 |
| 1.0725 | 15.0 | 4365 | 1.2171 |
| 1.0609 | 16.0 | 4656 | 1.2330 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.2.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- bert
- License
- apache-2.0
- Created
- Sep 2, 2024
- Updated
- Sep 3, 2024