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---
license: cc-by-4.0
base_model: kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref
tags:
- generated_from_trainer
model-index:
- name: FYP_qa_final
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. -->
# FYP_qa_final
This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref](https://huggingface.co/kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3814
## 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: 4
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7153 | 0.48 | 300 | 2.8860 |
| 2.5698 | 0.96 | 600 | 2.6071 |
| 2.4486 | 1.44 | 900 | 2.5039 |
| 2.3583 | 1.92 | 1200 | 2.4549 |
| 2.332 | 2.4 | 1500 | 2.4043 |
| 2.264 | 2.88 | 1800 | 2.4150 |
| 2.232 | 3.35 | 2100 | 2.3507 |
| 2.201 | 3.83 | 2400 | 2.3814 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|