metadata
license: cc-by-4.0
base_model: kxx-kkk/FYP_sq2_mrqa_adqa_synqa
tags:
- generated_from_trainer
model-index:
- name: FYP_qa_final
results: []
FYP_qa_final
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: 2.5802
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: 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 |
|---|---|---|---|
| 2.7511 | 0.48 | 300 | 2.9918 |
| 2.538 | 0.96 | 600 | 2.8853 |
| 2.428 | 1.44 | 900 | 2.6102 |
| 2.408 | 1.92 | 1200 | 2.5302 |
| 2.3025 | 2.4 | 1500 | 2.5252 |
| 2.2878 | 2.88 | 1800 | 2.5802 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2