---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon_helpfulness_classification_roberta_best_f1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# amazon_helpfulness_classification_roberta_best_f1

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3205
- Accuracy: 0.8724
- F1 Macro: 0.7004

## 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=(0.9,0.98) and epsilon=1e-06
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1 Macro |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
| 0.3311        | 1.0   | 7204  | 0.3180          | 0.8652   | 0.5844   |
| 0.3438        | 2.0   | 14408 | 0.3660          | 0.8676   | 0.5934   |
| 0.3017        | 3.0   | 21612 | 0.3260          | 0.8708   | 0.7031   |
| 0.2725        | 4.0   | 28816 | 0.3767          | 0.8672   | 0.6625   |
| 0.2135        | 5.0   | 36020 | 0.4736          | 0.8676   | 0.6787   |
| 0.172         | 6.0   | 43224 | 0.5067          | 0.8696   | 0.6691   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2