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multi_task_model_content_test_v2
ttqdunggg/multi_task_model_content_test_v2
multi_task_model_content_test_v2 is a machine learning model from ttqdunggg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as agpl-3.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- agpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Nov 8, 2025
- Updated
- Nov 8, 2025
- SHA
- 91f80b04
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. -->
multi_task_model_content_test_v2
This model is a fine-tuned version of RonTon05/model_content_V2_test on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5964
- Accuracy: 0.8312
- F1: 0.8014
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.8164 | 1.0 | 330 | 0.5551 | 0.8280 | 0.6815 |
| 0.4748 | 2.0 | 660 | 0.4798 | 0.8431 | 0.8009 |
| 0.3498 | 3.0 | 990 | 0.4800 | 0.8536 | 0.8089 |
| 0.265 | 4.0 | 1320 | 0.4932 | 0.8492 | 0.8083 |
| 0.2008 | 5.0 | 1650 | 0.5519 | 0.8473 | 0.8085 |
| 0.1629 | 6.0 | 1980 | 0.5964 | 0.8312 | 0.8014 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- transformers
- Type
- roberta
- License
- agpl-3.0
- Created
- Nov 8, 2025
- Updated
- Nov 8, 2025