---
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: []
---

<!-- 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_sq2_mrqa_adqa_synqa_quoref

This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa_adqa_synqa](https://huggingface.co/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