---
license: cc-by-4.0
base_model: deepset/deberta-v3-base-squad2
tags:
- generated_from_trainer
model-index:
- name: FYP_sq2_mrqa
  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

This model is a fine-tuned version of [deepset/deberta-v3-base-squad2](https://huggingface.co/deepset/deberta-v3-base-squad2) on [MRQA](https://huggingface.co/datasets/mrqa) dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0805

## 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: 5e-06
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.2667        | 0.14  | 4000  | 2.6882          |
| 2.4457        | 0.27  | 8000  | 2.3556          |
| 2.2012        | 0.41  | 12000 | 2.1995          |
| 2.0871        | 0.55  | 16000 | 2.1129          |
| 2.0249        | 0.68  | 20000 | 2.1128          |
| 1.9939        | 0.82  | 24000 | 2.0941          |
| 1.9658        | 0.95  | 28000 | 2.0805          |


### Framework versions

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