nli-roberta-base-finetuned-for-amazon-review-ratings2
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: 1.0153
- Meanabsoluteerror: 0.538
- Accuracy: 0.55
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 |
|---|---|---|---|---|---|
| 1.1358 | 1.0 | 313 | 1.0153 | 0.538 | 0.55 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Downloads last month
- 14
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for mrhalim2001/nli-roberta-base-finetuned-for-amazon-review-ratings2
Base model
cross-encoder/nli-roberta-baseDataset used to train mrhalim2001/nli-roberta-base-finetuned-for-amazon-review-ratings2
Evaluation results
- Accuracy on amazon_reviews_multivalidation set self-reported0.550