Downloads · 30 days
4
15% of all-time downloads
bert-base-cased-finetuned
sevvalozdamar/bert-base-cased-finetuned
bert-base-cased-finetuned is a text classification model from sevvalozdamar. Use it when you need a label for a piece of text. 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
27
Public
Parameters
108M
867 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors433 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jan 21, 2024
- Updated
- Jan 26, 2024
- SHA
- abeb2037
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. -->
bert-base-cased-finetuned
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: 0.2396
- Accuracy: 0.9575
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2096 | 1.0 | 100 | 0.2535 | 0.9375 |
| 0.0835 | 2.0 | 200 | 0.2931 | 0.9425 |
| 0.0358 | 3.0 | 300 | 0.2112 | 0.9525 |
| 0.0124 | 4.0 | 400 | 0.2400 | 0.9475 |
| 0.0071 | 5.0 | 500 | 0.2241 | 0.955 |
| 0.0024 | 6.0 | 600 | 0.2342 | 0.9575 |
| 0.0035 | 7.0 | 700 | 0.2345 | 0.96 |
| 0.0005 | 8.0 | 800 | 0.2278 | 0.9575 |
| 0.0059 | 9.0 | 900 | 0.2243 | 0.96 |
| 0.0003 | 10.0 | 1000 | 0.2396 | 0.9575 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jan 21, 2024
- Updated
- Jan 26, 2024