| | --- |
| | library_name: transformers |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: nci-scorer-multitask |
| | results: [] |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # nci-scorer-multitask |
| |
|
| | This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1511 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 32 |
| | - 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 |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 10 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | No log | 0.3145 | 100 | 0.2901 | |
| | | No log | 0.6289 | 200 | 0.2231 | |
| | | No log | 0.9434 | 300 | 0.1861 | |
| | | No log | 1.2579 | 400 | 0.1721 | |
| | | 0.239 | 1.5723 | 500 | 0.1709 | |
| | | 0.239 | 1.8868 | 600 | 0.1727 | |
| | | 0.239 | 2.2013 | 700 | 0.1549 | |
| | | 0.239 | 2.5157 | 800 | 0.1491 | |
| | | 0.239 | 2.8302 | 900 | 0.1453 | |
| | | 0.1452 | 3.1447 | 1000 | 0.1482 | |
| | | 0.1452 | 3.4591 | 1100 | 0.1490 | |
| | | 0.1452 | 3.7736 | 1200 | 0.1462 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.57.3 |
| | - Pytorch 2.9.1+cu128 |
| | - Datasets 4.4.1 |
| | - Tokenizers 0.22.1 |
| |
|
