clickbait_spoiling_model_trial_1
This model is a fine-tuned version of intanm/practice-ft-qa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4600
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2621 | 1.0 | 1600 | 2.2366 |
| 2.0665 | 2.0 | 3200 | 2.2846 |
| 1.7666 | 3.0 | 4800 | 2.4600 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2