README.md

metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - amazon_reviews_multi
metrics:
  - accuracy
model-index:
  - name: nli-roberta-base-finetuned-for-amazon-review-ratings
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: amazon_reviews_multi
          type: amazon_reviews_multi
          config: en
          split: validation
          args: en
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.33

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

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: 1.6148
• Meanabsoluteerror: 1.215
• Accuracy: 0.33

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
1.679	1.0	32	1.6148	1.215	0.33

Framework versions

• Transformers 4.27.3
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2