---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Models-RoBERTa-1715659330.632454
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Models-RoBERTa-1715659330.632454

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: 0.2353
- Accuracy: 0.919

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.3034        | 0.25  | 3068  | 0.2485          | 0.902    |
| 0.2598        | 0.5   | 6136  | 0.2506          | 0.906    |
| 0.2441        | 0.75  | 9204  | 0.2321          | 0.912    |
| 0.2334        | 1.0   | 12272 | 0.2065          | 0.913    |
| 0.1825        | 1.25  | 15340 | 0.2189          | 0.91     |
| 0.1764        | 1.5   | 18408 | 0.2488          | 0.916    |
| 0.172         | 1.75  | 21476 | 0.2410          | 0.916    |
| 0.168         | 2.0   | 24544 | 0.2353          | 0.919    |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1