---
license: apache-2.0
base_model: google/bigbird-roberta-base
tags:
- generated_from_trainer
datasets:
- squad_v2
model-index:
- name: bigbird-QA-squad_v2.4
  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. -->

# bigbird-QA-squad_v2.4

This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co./google/bigbird-roberta-base) on the squad_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8951

## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 244
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3245        | 1.0   | 407  | 1.1746          |
| 1.0089        | 2.0   | 814  | 0.9133          |
| 0.8408        | 3.0   | 1221 | 0.8951          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1