You can deploy this model and start earning money today!

nickrwu/
bigbird-roberta-large

Name: bigbird-roberta-large
Availability: InStock

generated_from_trainer

LIAMF-USP/roberta-large-finetuned-race

finetune

mit

endpoints_compatible

Views

No views yet

bigbird-roberta-large

This model is a fine-tuned version of LIAMF-USP/roberta-large-finetuned-race on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.6094
Accuracy: 0.1976
F1: 0.1757
Precision: 0.1893
Recall: 0.1911

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: 2e-05
train_batch_size: 8
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.6272	0.3233	1200	1.6094	0.2082	0.1431	0.2007	0.1996
1.6218	0.6466	2400	1.6094	0.2117	0.1340	0.1876	0.1998
1.6235	0.9698	3600	1.6094	0.2104	0.1752	0.2005	0.2015
1.617	1.2931	4800	1.6094	0.2088	0.1956	0.2037	0.2028
1.61	1.6164	6000	1.6094	0.2091	0.1606	0.2127	0.2024
1.6126	1.9397	7200	1.6094	0.2108	0.1796	0.1965	0.2011
1.6174	2.2629	8400	1.6094	0.2095	0.1833	0.2036	0.2024
1.6125	2.5862	9600	1.6094	0.2097	0.1847	0.1963	0.2016
1.6192	2.9095	10800	1.6094	0.1976	0.1757	0.1893	0.1911

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

nickrwu/bigbird-roberta-large

bigbird-roberta-large

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nickrwu/
bigbird-roberta-large