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MTL_ATESG_Weighted
RonTon05/MTL_ATESG_Weighted
MTL_ATESG_Weighted is a text classification model from RonTon05. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as agpl-3.0.
This model is a fine-tuned version of RonTon05/modelcontentV2test on a custom multi-task dataset.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- agpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Jun 10, 2026
- Updated
- Jun 10, 2026
- SHA
- df0a351a
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Base models
Model card
From the Hugging Face model README
MTL_ATESG_Weighted
This model is a fine-tuned version of RonTon05/model_content_V2_test on a custom multi-task dataset.
Training Results
TASK 1 — Binary Classification
- Accuracy: 99.39%
- Macro F1: 98.92%
| Class | Precision | Recall | F1-Score | Support |
|---|---|---|---|---|
| 0 | 0.9986 | 0.9940 | 0.9963 | 3654 |
| 1 | 0.9711 | 0.9933 | 0.9820 | 743 |
| Macro Avg | 0.9848 | 0.9936 | 0.9892 | 4397 |
| Weighted Avg | 0.9940 | 0.9939 | 0.9939 | 4397 |
TASK 2 — 10-class Classification
- Accuracy: 75.87%
- Macro F1: 79.24%
| Class | Precision | Recall | F1-Score | Support |
|---|---|---|---|---|
| 0 | 0.8114 | 0.6930 | 0.7475 | 329 |
| 1 | 0.9487 | 0.8605 | 0.9024 | 43 |
| 2 | 0.8743 | 0.9162 | 0.8947 | 167 |
| 3 | 0.9585 | 0.9373 | 0.9478 | 271 |
| 4 | 0.9400 | 0.8034 | 0.8664 | 117 |
| 5 | 0.6403 | 0.7860 | 0.7057 | 958 |
| 6 | 0.7981 | 0.7837 | 0.7908 | 1387 |
| 7 | 0.5900 | 0.5364 | 0.5619 | 110 |
| 8 | 0.8450 | 0.8074 | 0.8258 | 135 |
| 9 | 0.7299 | 0.6386 | 0.6812 | 880 |
| Macro Avg | 0.8136 | 0.7762 | 0.7924 | 4397 |
| Weighted Avg | 0.7653 | 0.7587 | 0.7592 | 4397 |
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 128
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1035
- num_epochs: 50
Framework versions
- Transformers 5.10.2
- Pytorch 2.10.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- agpl-3.0
- Created
- Jun 10, 2026
- Updated
- Jun 10, 2026