README.md

---
license: mit
base_model: BigTMiami/dapt_plus_tapt_helpfulness_base_pretraining_model
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: dapt_plus_tapt_amazon_helpfulness_classification_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# dapt_plus_tapt_amazon_helpfulness_classification_v2

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: 0.3267
- Accuracy: 0.8628
- F1 Macro: 0.6898

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.3333        | 1.0   | 1563 | 0.3267          | 0.8628   | 0.6898   |
| 0.309         | 2.0   | 3126 | 0.3859          | 0.8696   | 0.6292   |
| 0.2443        | 3.0   | 4689 | 0.4222          | 0.8664   | 0.6222   |
| 0.1683        | 4.0   | 6252 | 0.5618          | 0.867    | 0.6315   |
| 0.1591        | 5.0   | 7815 | 0.6760          | 0.8668   | 0.6678   |
| 0.0877        | 6.0   | 9378 | 0.8763          | 0.8614   | 0.6678   |


### Framework versions

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