---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: roberta-base_peft_stack-exchange-paired_rmts__10000_2e-05
  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. -->

# roberta-base_peft_stack-exchange-paired_rmts__10000_2e-05

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6182
- Accuracy: 0.7444

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.681         | 0.16  | 100  | 0.6674          | 0.6792   |
| 0.6774        | 0.32  | 200  | 0.6488          | 0.7112   |
| 0.6906        | 0.48  | 300  | 0.6406          | 0.7178   |
| 0.6448        | 0.64  | 400  | 0.6328          | 0.7312   |
| 0.6375        | 0.8   | 500  | 0.6218          | 0.7348   |
| 0.6488        | 0.96  | 600  | 0.6182          | 0.7444   |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3