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

Loss: 1.0089
Meanabsoluteerror: 0.535
Accuracy: 0.548

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: 64
eval_batch_size: 64
seed: 42
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	Meanabsoluteerror	Accuracy
1.1095	1.0	313	1.0089	0.535	0.548

Framework versions

Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

coleperg/nli-roberta-base-finetuned-for-amazon-review-ratings

nli-roberta-base-finetuned-for-amazon-review-ratings

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

coleperg/
nli-roberta-base-finetuned-for-amazon-review-ratings