metadata

license: apache-2.0
base_model: google/bigbird-roberta-base
tags:
  - generated_from_trainer
datasets:
  - race
metrics:
  - accuracy
model-index:
  - name: bigbird_race_1
    results: []

bigbird_race_1

This model is a fine-tuned version of google/bigbird-roberta-base on the race dataset. It achieves the following results on the evaluation set:

Loss: 1.3863
Accuracy: 0.2639

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-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3883	1.0	3177	1.3863	0.2639

Framework versions

Transformers 4.33.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3