This model is a fine-tuned version of BSC-TeMU/roberta-base-bne on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

Loss: 0.2328
Accuracy: 0.9313

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1985	1.0	1250	0.1730	0.9327
0.0982	2.0	2500	0.2328	0.9313

Framework versions

Transformers 4.17.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6

golivaresm/roberta-base-bne-finetuned-amazon_reviews_multi

roberta-base-bne-finetuned-amazon_reviews_multi

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

golivaresm/
roberta-base-bne-finetuned-amazon_reviews_multi