---
license: mit
base_model: BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon_helpfulness_classification_dapt_tap
  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_dapt_tap

This model is a fine-tuned version of [BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model](https://huggingface.co/BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3428
- Accuracy: 0.8785
- F1 Macro: 0.6863

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
| 0.315         | 1.0   | 7204  | 0.3045          | 0.874    | 0.6410   |
| 0.3083        | 2.0   | 14408 | 0.3373          | 0.8722   | 0.6349   |
| 0.2639        | 3.0   | 21612 | 0.3507          | 0.8768   | 0.6922   |
| 0.2388        | 4.0   | 28816 | 0.4179          | 0.87     | 0.6659   |
| 0.1534        | 5.0   | 36020 | 0.5956          | 0.8738   | 0.6830   |
| 0.1524        | 6.0   | 43224 | 0.6679          | 0.8684   | 0.6796   |


### Framework versions

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