---
license: apache-2.0
base_model: google/bigbird-roberta-large
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: bigBird-large-fine-tuning-squad-B16R1_bias
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/radic2682-unist/bigBird-large-fine-tuning-squad-b16r1_bias/runs/0j9jq8s8)
# bigBird-large-fine-tuning-squad-B16R1_bias

This model is a fine-tuned version of [google/bigbird-roberta-large](https://huggingface.co/google/bigbird-roberta-large) on the squad dataset.

## 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: 3
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.43.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.20.0
- Tokenizers 0.19.1