metadata
license: cc-by-4.0
base_model: kxx-kkk/FYP_sq2_mrqa_adqa_synqa
tags:
- generated_from_trainer
model-index:
- name: FYP_sq2_mrqa_adqa_synqa_quoref
results: []
FYP_sq2_mrqa_adqa_synqa_quoref
This model is a fine-tuned version of kxx-kkk/FYP_sq2_mrqa_adqa_synqa on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8654
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.3662 | 0.32 | 500 | 2.2585 |
| 2.1791 | 0.64 | 1000 | 2.1171 |
| 2.1006 | 0.95 | 1500 | 2.0172 |
| 2.0647 | 1.27 | 2000 | 1.9514 |
| 2.0247 | 1.59 | 2500 | 1.9741 |
| 1.9766 | 1.91 | 3000 | 1.8697 |
| 1.9395 | 2.23 | 3500 | 1.8859 |
| 1.9254 | 2.54 | 4000 | 1.8358 |
| 1.9118 | 2.86 | 4500 | 1.8654 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2