---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: amazon_helpfulness_classification_seqbn_tapt_full_train
  results: []
---

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

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3077
- Accuracy: 0.8776
- F1 Macro: 0.7027

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
| 0.3264        | 1.0   | 7204  | 0.3133          | 0.8658   | 0.5988   |
| 0.3255        | 2.0   | 14408 | 0.3263          | 0.8668   | 0.5816   |
| 0.3123        | 3.0   | 21612 | 0.3075          | 0.873    | 0.6920   |
| 0.3098        | 4.0   | 28816 | 0.3100          | 0.8728   | 0.6726   |
| 0.2613        | 5.0   | 36020 | 0.3124          | 0.8734   | 0.6992   |
| 0.2496        | 6.0   | 43224 | 0.3123          | 0.8758   | 0.7014   |
| 0.2484        | 7.0   | 50428 | 0.3164          | 0.8728   | 0.6936   |
| 0.2296        | 8.0   | 57632 | 0.3310          | 0.8722   | 0.6849   |
| 0.2885        | 9.0   | 64836 | 0.3307          | 0.873    | 0.6911   |


### Framework versions

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