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sanitaer
jschmock/sanitaer
sanitaer is a text classification model from jschmock. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 29, 2022
- Updated
- Sep 30, 2022
- SHA
- 89a81b99
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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. -->
sanitaer
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0992
- F1: 0.7727
Label-Übersetzung
- 0 Andere
- 1 Druckerhöhungsanlage
- 2 Enthärtungsanlage
- 3 Hebeanlage
- 4 Sanitär Allgemein
- 5 Schmutzwasser
- 6 Trinkwassererwärmungsanlage
- 7 Wasserzähler
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 0.91 | 5 | 1.9727 | 0.1939 |
| No log | 1.91 | 10 | 1.5642 | 0.3535 |
| No log | 2.91 | 15 | 1.2698 | 0.6818 |
| No log | 3.91 | 20 | 1.3642 | 0.6429 |
| No log | 4.91 | 25 | 1.3411 | 0.6818 |
| No log | 5.91 | 30 | 1.2627 | 0.6818 |
| No log | 6.91 | 35 | 1.1269 | 0.7727 |
| No log | 7.91 | 40 | 1.0719 | 0.7727 |
| No log | 8.91 | 45 | 1.0567 | 0.7727 |
| No log | 9.91 | 50 | 1.1256 | 0.7727 |
| No log | 10.91 | 55 | 0.7085 | 0.7727 |
| No log | 11.91 | 60 | 0.9290 | 0.7727 |
| No log | 12.91 | 65 | 1.0355 | 0.7727 |
| No log | 13.91 | 70 | 1.0866 | 0.7727 |
| No log | 14.91 | 75 | 1.0992 | 0.7727 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Sep 29, 2022
- Updated
- Sep 30, 2022