---
license: mit
base_model: BigTMiami/tapt_helpfulness_base_pretraining_model
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon_helpfulness_classification_on_base_from_TAPT_helpfulness_pretraining
  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. -->

# amazon_helpfulness_classification_on_base_from_TAPT_helpfulness_pretraining

This model is a fine-tuned version of [BigTMiami/tapt_helpfulness_base_pretraining_model](https://huggingface.co/BigTMiami/tapt_helpfulness_base_pretraining_model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4874
- Accuracy: 0.8724
- F1 Macro: 0.6843

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
| 0.3156        | 1.0   | 7204  | 0.3322          | 0.8666   | 0.5814   |
| 0.2841        | 2.0   | 14408 | 0.3471          | 0.8744   | 0.6461   |
| 0.274         | 3.0   | 21612 | 0.3581          | 0.8704   | 0.6287   |
| 0.2602        | 4.0   | 28816 | 0.3619          | 0.87     | 0.6849   |
| 0.2126        | 5.0   | 36020 | 0.5168          | 0.8678   | 0.6868   |
| 0.1674        | 6.0   | 43224 | 0.5960          | 0.8672   | 0.6713   |
| 0.1362        | 7.0   | 50428 | 0.6970          | 0.8684   | 0.6758   |
| 0.1184        | 8.0   | 57632 | 0.7500          | 0.8674   | 0.6715   |


### Framework versions

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