multi_task_model_content_un_freeze_2048
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: 0.6413
- Accuracy: 0.8392
- F1: 0.7968
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9308 | 1.0 | 330 | 0.6167 | 0.8041 | 0.5591 |
| 0.5026 | 2.0 | 660 | 0.5379 | 0.8253 | 0.7893 |
| 0.3419 | 3.0 | 990 | 0.4819 | 0.8477 | 0.8081 |
| 0.2463 | 4.0 | 1320 | 0.5088 | 0.8496 | 0.8119 |
| 0.1816 | 5.0 | 1650 | 0.5977 | 0.8407 | 0.7908 |
| 0.1373 | 6.0 | 1980 | 0.6413 | 0.8392 | 0.7968 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.6.0+cu124
- Datasets 4.4.1
- Tokenizers 0.22.1
- Downloads last month
- 10