---
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