Downloads · 30 days
2
6% of all-time downloads
2_task_v2_sports_movies_p2
phucleDio/2_task_v2_sports_movies_p2
2_task_v2_sports_movies_p2 is a machine learning model from phucleDio. 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. --
All-time downloads
32
Public
Parameters
136M
544 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors544 MB · 100%
At a glance
- Library
- transformers
- License
- agpl-3.0
- Model type
- roberta
- Access
- Public
- Created
- Jul 18, 2026
- Updated
- Jul 18, 2026
- SHA
- 5313c046
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. -->
2_task_v2_sports_movies_p2
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: 1.1827
- F1 Task1: 0.9978
- F1 Task2: 0.5950
- Acc Task1: 0.9985
- Acc Task2: 0.6019
- F1: 0.7964
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: 32
- eval_batch_size: 8
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Task1 | F1 Task2 | Acc Task1 | Acc Task2 | F1 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 463 | 1.6080 | 0.9978 | 0.4431 | 0.9985 | 0.4724 | 0.7205 |
| 1.5941 | 2.0 | 926 | 1.3321 | 0.9978 | 0.5290 | 0.9985 | 0.5605 | 0.7634 |
| 1.3326 | 3.0 | 1389 | 1.2543 | 0.9978 | 0.5655 | 0.9985 | 0.5793 | 0.7817 |
| 1.2003 | 4.0 | 1852 | 1.2163 | 0.9978 | 0.5841 | 0.9985 | 0.5893 | 0.7910 |
| 1.0977 | 5.0 | 2315 | 1.1827 | 0.9978 | 0.5950 | 0.9985 | 0.6019 | 0.7964 |
Framework versions
- Transformers 5.14.1
- Pytorch 2.11.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- roberta
- License
- agpl-3.0
- Created
- Jul 18, 2026
- Updated
- Jul 18, 2026