Downloads · 30 days
9
2% of all-time downloads
fine-tune-bert-combined-fine-grained
nouman-10/fine-tune-bert-combined-fine-grained
fine-tune-bert-combined-fine-grained is a text classification model from nouman-10. 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
396
Public
Repo size
4.8 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin433 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 15, 2023
- Updated
- Mar 15, 2023
- SHA
- 9410da7a
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. -->
unsupervised-fine-tune-bert-cased-exist-5
This model is a fine-tuned version of nouman-10/unsupervised-comb-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8727
- Accuracy: 0.6395
- F1: 0.6395
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 | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 194 | 1.0883 | 0.6047 | 0.6047 |
| No log | 2.0 | 388 | 0.9470 | 0.6570 | 0.6570 |
| 1.0327 | 3.0 | 582 | 0.9865 | 0.6570 | 0.6570 |
| 1.0327 | 4.0 | 776 | 1.1466 | 0.6395 | 0.6395 |
| 1.0327 | 5.0 | 970 | 1.2968 | 0.6628 | 0.6628 |
| 0.3931 | 6.0 | 1164 | 1.4268 | 0.6715 | 0.6715 |
| 0.3931 | 7.0 | 1358 | 1.6063 | 0.6512 | 0.6512 |
| 0.1038 | 8.0 | 1552 | 1.7537 | 0.6395 | 0.6395 |
| 0.1038 | 9.0 | 1746 | 1.8226 | 0.6512 | 0.6512 |
| 0.1038 | 10.0 | 1940 | 1.8727 | 0.6395 | 0.6395 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 15, 2023
- Updated
- Mar 15, 2023