roberta-base-bne-finetuned-amazon_reviews_multi
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: 0.2339
- Accuracy: 0.9337
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 |
|---|---|---|---|---|
| 0.1871 | 1.0 | 1250 | 0.1877 | 0.9293 |
| 0.0924 | 2.0 | 2500 | 0.2339 | 0.9337 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for Chanblock/roberta-base-bne-finetuned-amazon_reviews_multi
Base model
BSC-LT/roberta-base-bneDataset used to train Chanblock/roberta-base-bne-finetuned-amazon_reviews_multi
Evaluation results
- Accuracy on amazon_reviews_multivalidation set self-reported0.934