---
license: cc-by-4.0
base_model: kxx-kkk/FYP_sq2_mrqa
tags:
- generated_from_trainer
model-index:
- name: FYP_sq2_mrqa_adqa
  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

This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa](https://huggingface.co/kxx-kkk/FYP_sq2_mrqa) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3608

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.5061        | 0.27  | 500  | 2.6842          |
| 3.3877        | 0.53  | 1000 | 2.5561          |
| 3.3468        | 0.8   | 1500 | 2.5469          |
| 3.3258        | 1.06  | 2000 | 2.4571          |
| 3.2486        | 1.33  | 2500 | 2.4096          |
| 3.2401        | 1.6   | 3000 | 2.3633          |
| 3.2378        | 1.86  | 3500 | 2.3697          |
| 3.2005        | 2.13  | 4000 | 2.3978          |
| 3.1763        | 2.4   | 4500 | 2.3770          |
| 3.1787        | 2.66  | 5000 | 2.3678          |
| 3.164         | 2.93  | 5500 | 2.3608          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2