Downloads · 30 days
5
21% of all-time downloads
training-1
ShaunThayil/training-1
training-1 is a text classification model from ShaunThayil. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
24
Public
Repo size
2.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin499 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Sep 18, 2023
- Updated
- Oct 6, 2023
- SHA
- 570cefad
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. -->
training-1
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0448
- Accuracy: 0.9937
- Precision: 0.9912
- Recall: 0.9859
- F1: 0.9885
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: 1e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 0.5 | 302 | 0.0546 | 0.9870 | 0.9737 | 0.9789 | 0.9763 |
| No log | 1.0 | 604 | 0.0511 | 0.9913 | 0.9911 | 0.9771 | 0.9840 |
| 0.1032 | 1.5 | 906 | 0.0558 | 0.9899 | 0.9807 | 0.9824 | 0.9815 |
| 0.1032 | 2.0 | 1208 | 0.0467 | 0.9928 | 0.9982 | 0.9754 | 0.9866 |
| 0.0353 | 2.5 | 1510 | 0.0411 | 0.9937 | 0.9929 | 0.9842 | 0.9885 |
| 0.0353 | 3.0 | 1812 | 0.0460 | 0.9932 | 0.9911 | 0.9842 | 0.9876 |
| 0.0183 | 3.49 | 2114 | 0.0423 | 0.9937 | 0.9947 | 0.9824 | 0.9885 |
| 0.0183 | 3.99 | 2416 | 0.0476 | 0.9932 | 0.9911 | 0.9842 | 0.9876 |
| 0.013 | 4.49 | 2718 | 0.0463 | 0.9932 | 0.9911 | 0.9842 | 0.9876 |
| 0.013 | 4.99 | 3020 | 0.0448 | 0.9937 | 0.9912 | 0.9859 | 0.9885 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.2.0.dev20230913+cu121
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Sep 18, 2023
- Updated
- Oct 6, 2023