Downloads · 30 days
6
12% of all-time downloads
albert_irony
lilyray/albert_irony
albert_irony is a text classification model from lilyray. 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
49
Public
Parameters
11.7M
889 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt561 MB · 63%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- albert
- Access
- Public
- Created
- Mar 10, 2024
- Updated
- Mar 11, 2024
- SHA
- 80e682a5
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. -->
albert_irony
This model is a fine-tuned version of lilyray/albert_irony on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6130
- Accuracy: 0.6901
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: 1.547052605472227e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 358 | 0.6295 | 0.6733 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- albert
- License
- apache-2.0
- Created
- Mar 10, 2024
- Updated
- Mar 11, 2024