---
license: mit
base_model: BigTMiami/amazon_pretraining_5M_model_corrected
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon_helpfulness_classification_on_base_from_DAPT_5M_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_DAPT_5M_pretraining

This model is a fine-tuned version of [BigTMiami/amazon_pretraining_5M_model_corrected](https://huggingface.co/BigTMiami/amazon_pretraining_5M_model_corrected) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7517
- Accuracy: 0.8699
- F1 Macro: 0.6736

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
| 0.3151        | 1.0   | 7204  | 0.3461          | 0.8766   | 0.6664   |
| 0.2861        | 2.0   | 14408 | 0.3429          | 0.8736   | 0.6544   |
| 0.2788        | 3.0   | 21612 | 0.3600          | 0.8722   | 0.6466   |
| 0.2585        | 4.0   | 28816 | 0.3805          | 0.8682   | 0.6789   |
| 0.1873        | 5.0   | 36020 | 0.5306          | 0.871    | 0.6660   |
| 0.1333        | 6.0   | 43224 | 0.6493          | 0.8674   | 0.6675   |
| 0.1369        | 7.0   | 50428 | 0.7657          | 0.869    | 0.6799   |
| 0.0936        | 8.0   | 57632 | 0.8041          | 0.8674   | 0.6779   |
| 0.1062        | 9.0   | 64836 | 0.9458          | 0.867    | 0.6633   |
| 0.0463        | 10.0  | 72040 | 1.0079          | 0.8682   | 0.6684   |


### Framework versions

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