
<!-- 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_deberta-v3-base-squad2_adversarialQA

This model is a fine-tuned version of [deepset/deberta-v3-base-squad2](https://huggingface.co/deepset/deberta-v3-base-squad2) on an adversarial_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2167

## Model description

This is a extractive qa model for my fyp. 

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 250  | 2.1643          |
| 2.1687        | 2.0   | 500  | 2.1333          |
| 2.1687        | 3.0   | 750  | 2.2167          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
{"language": ["en"], "license": "cc-by-4.0", "tags": ["generated_from_trainer"], "datasets": ["adversarial_qa", "squad_v2"], "base_model": "deepset/deberta-v3-base-squad2", "pipeline_tag": "question-answering", "model-index": [{"name": "FYP_deberta-v3-base-squad2_adversarialQA", "results": []}]}
transformers tensorboard safetensors deberta-v2 question-answering generated_from_trainer en dataset:adversarial_qa dataset:squad_v2 base_model:deepset/deberta-v3-base-squad2 license:cc-by-4.0 endpoints_compatible region:us