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---
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
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