---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: tapt_helpfulness_base_pretraining_model
  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. -->

# tapt_helpfulness_base_pretraining_model

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: 1.4502

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 11
- total_train_batch_size: 352
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9099        | 0.97  | 27   | 1.6497          |
| 1.716         | 1.98  | 55   | 1.6088          |
| 1.6549        | 2.99  | 83   | 1.5624          |
| 1.6585        | 3.97  | 110  | 1.5455          |
| 1.557         | 4.98  | 138  | 1.5446          |
| 1.5142        | 5.99  | 166  | 1.5057          |
| 1.4788        | 7.0   | 194  | 1.4934          |
| 1.5057        | 7.97  | 221  | 1.4714          |
| 1.4232        | 8.98  | 249  | 1.4541          |
| 1.3778        | 9.74  | 270  | 1.4498          |


### Framework versions

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