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multi_task_model_content_freeze_encoder_2048_8
phunganhsang/multi_task_model_content_freeze_encoder_2048_8
multi_task_model_content_freeze_encoder_2048_8 is a machine learning model from phunganhsang. 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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Public
Updated Nov 7, 2025
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At a glance
- Library
- transformers
- License
- agpl-3.0
- Access
- Public
- Created
- Nov 7, 2025
- Updated
- Nov 7, 2025
- SHA
- 775c3fce
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_freeze_encoder_2048_8
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: 0.8441
- Accuracy: 0.6952
- F1: 0.4707
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: 0.0001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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 |
|---|---|---|---|---|---|
| 1.3077 | 1.0 | 330 | 1.1435 | 0.5855 | 0.2698 |
| 1.127 | 2.0 | 660 | 1.0268 | 0.6204 | 0.3367 |
| 1.0532 | 3.0 | 990 | 0.9587 | 0.6595 | 0.4240 |
| 1.0091 | 4.0 | 1320 | 0.9028 | 0.6829 | 0.4461 |
| 0.9842 | 5.0 | 1650 | 0.8887 | 0.6783 | 0.4405 |
| 0.9671 | 6.0 | 1980 | 0.8665 | 0.6897 | 0.4568 |
| 0.955 | 7.0 | 2310 | 0.8712 | 0.6887 | 0.4619 |
| 0.9468 | 8.0 | 2640 | 0.8543 | 0.6885 | 0.4584 |
| 0.936 | 9.0 | 2970 | 0.8436 | 0.6975 | 0.4721 |
| 0.9376 | 10.0 | 3300 | 0.8441 | 0.6952 | 0.4707 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- transformers
- License
- agpl-3.0
- Created
- Nov 7, 2025
- Updated
- Nov 7, 2025