---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Roberta-capstone_2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Roberta-capstone_2

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: 0.3485
- Accuracy: 0.9400

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2568        | 1.0   | 623  | 0.1971          | 0.9265   |
| 0.1581        | 2.0   | 1246 | 0.2102          | 0.9339   |
| 0.109         | 3.0   | 1869 | 0.3126          | 0.9356   |
| 0.0687        | 4.0   | 2492 | 0.3040          | 0.9382   |
| 0.0199        | 5.0   | 3115 | 0.3485          | 0.9400   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3