---
license: apache-2.0
base_model: google/bigbird-roberta-base
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: NF-bigbird-squad
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# NF-bigbird-squad

This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co./google/bigbird-roberta-base) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0218

## 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: 2
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 160
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0526        | 1.0   | 1095 | 1.1762          |
| 0.8623        | 2.0   | 2190 | 1.0830          |
| 0.8911        | 3.0   | 3285 | 1.0327          |
| 0.9511        | 4.0   | 4380 | 1.0218          |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3