---
license: mit
base_model: BigTMiami/tapt_helpfulness_base_pretraining_model_final
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tapt_amazon_helpfulness_classification
  results: []
---

<!-- 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. -->

# tapt_amazon_helpfulness_classification

This model is a fine-tuned version of [BigTMiami/tapt_helpfulness_base_pretraining_model_final](https://huggingface.co/BigTMiami/tapt_helpfulness_base_pretraining_model_final) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3873
- Accuracy: 0.87
- F1 Macro: 0.6868

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.3226        | 1.0   | 1563 | 0.3149          | 0.8688   | 0.6717   |
| 0.2854        | 2.0   | 3126 | 0.3745          | 0.8682   | 0.6249   |
| 0.2016        | 3.0   | 4689 | 0.3873          | 0.87     | 0.6868   |


### Framework versions

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