| 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: 0.553 | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # nli-roberta-base-finetuned-for-amazon-review-ratings | |
| This model is a fine-tuned version of [cross-encoder/nli-roberta-base](https://huggingface.co/cross-encoder/nli-roberta-base) on the amazon_reviews_multi dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.0115 | |
| - Meanabsoluteerror: 0.535 | |
| - Accuracy: 0.553 | |
| ## 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:-----------------:|:--------:| | |
| | 1.1328 | 1.0 | 313 | 1.0115 | 0.535 | 0.553 | | |
| ### Framework versions | |
| - Transformers 4.27.2 | |
| - Pytorch 1.13.1+cu116 | |
| - Datasets 2.10.1 | |
| - Tokenizers 0.13.2 | |