You can deploy this model and start earning money today!

nickrwu/
test-roberta-finetuned-mathqa

Name: test-roberta-finetuned-mathqa
Availability: InStock

generated_from_trainer

LIAMF-USP/roberta-large-finetuned-race

finetune

mit

endpoints_compatible

Views

No views yet

test-roberta-finetuned-mathqa

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: 0.2007
F1: 0.1089
Precision: 0.1782
Recall: 0.1954

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: 10
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
1.6207	1.0	2970	1.6094	0.2064	0.0714	0.1694	0.2010
1.6136	2.0	5940	1.6094	0.2064	0.0951	0.1934	0.2020
1.6161	3.0	8910	1.6094	0.2007	0.1089	0.1782	0.1954

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

nickrwu/test-roberta-finetuned-mathqa

test-roberta-finetuned-mathqa

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nickrwu/
test-roberta-finetuned-mathqa