---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon_helpfulness_classification_on_base_no_pretraining
  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_on_base_no_pretraining

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: 0.4611
- Accuracy: 0.8664
- F1 Macro: 0.6902

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
| 0.3234        | 1.0   | 7204  | 0.3502          | 0.8658   | 0.5841   |
| 0.3102        | 2.0   | 14408 | 0.3271          | 0.869    | 0.6652   |
| 0.287         | 3.0   | 21612 | 0.3579          | 0.8692   | 0.6622   |
| 0.2685        | 4.0   | 28816 | 0.3589          | 0.872    | 0.6662   |
| 0.2437        | 5.0   | 36020 | 0.4797          | 0.8644   | 0.6926   |
| 0.163         | 6.0   | 43224 | 0.5644          | 0.862    | 0.6610   |
| 0.1475        | 7.0   | 50428 | 0.5918          | 0.8638   | 0.6611   |
| 0.1175        | 8.0   | 57632 | 0.6703          | 0.8624   | 0.6685   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2