| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - amazon_reviews_multi |
| metrics: |
| - accuracy |
| model-index: |
| - name: finetuned-amazon_reviews_multi |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: amazon_reviews_multi |
| type: amazon_reviews_multi |
| config: es |
| split: validation |
| args: es |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.909 |
| --- |
| |
| <!-- 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. --> |
|
|
| # finetuned-amazon_reviews_multi |
|
|
| This model is a fine-tuned version of [BSC-TeMU/roberta-base-bne](https://huggingface.co/BSC-TeMU/roberta-base-bne) on the amazon_reviews_multi dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2885 |
| - Accuracy: 0.909 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.2633 | 1.0 | 63 | 0.3015 | 0.8878 | |
| | 0.1725 | 2.0 | 126 | 0.2885 | 0.909 | |
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| ### Framework versions |
|
|
| - Transformers 4.27.2 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 2.10.1 |
| - Tokenizers 0.13.2 |
|
|
