Downloads · 30 days
5
15% of all-time downloads
distilbert-base-uncased-RILE-v1_un_frozen
kghanlon/distilbert-base-uncased-RILE-v1_un_frozen
distilbert-base-uncased-RILE-v1_un_frozen is a text classification model from kghanlon. 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
33
Public
Parameters
67M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors268 MB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023
- SHA
- 0e7318d0
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. -->
distilbert-base-uncased-RILE-v1_un_frozen
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4132
- Accuracy: 0.7341
- Recall: 0.7341
- F1: 0.7334
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: 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 | Recall | F1 |
|---|---|---|---|---|---|---|
| 0.7018 | 1.0 | 15490 | 0.6802 | 0.7181 | 0.7181 | 0.7150 |
| 0.5938 | 2.0 | 30980 | 0.6689 | 0.7291 | 0.7291 | 0.7295 |
| 0.4566 | 3.0 | 46470 | 0.7686 | 0.7319 | 0.7319 | 0.7324 |
| 0.3122 | 4.0 | 61960 | 1.1036 | 0.7330 | 0.7330 | 0.7325 |
| 0.2418 | 5.0 | 77450 | 1.4132 | 0.7341 | 0.7341 | 0.7334 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Dec 27, 2023
- Updated
- Dec 27, 2023