Downloads · 30 days
7
26% of all-time downloads
output
sgonzalezsilot/output
output is a text classification model from sgonzalezsilot. 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
27
Public
Parameters
335M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.3 GB · 100%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Feb 5, 2024
- Updated
- Feb 5, 2024
- SHA
- 57ebd99c
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. -->
output
This model is a fine-tuned version of digitalepidemiologylab/covid-twitter-bert-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0995
- F1: 0.9843
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: 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 | F1 |
|---|---|---|---|---|
| 0.0127 | 1.0 | 321 | 0.0817 | 0.9781 |
| 0.0716 | 2.0 | 642 | 0.1124 | 0.9788 |
| 0.0716 | 3.0 | 963 | 0.0804 | 0.9843 |
| 0.0255 | 4.0 | 1284 | 0.1176 | 0.9820 |
| 0.008 | 5.0 | 1605 | 0.1065 | 0.9820 |
| 0.008 | 6.0 | 1926 | 0.0995 | 0.9843 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Feb 5, 2024
- Updated
- Feb 5, 2024