---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
model-index:
- name: RoBERTa-MGT-Test
  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-MGT-Test

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: 0.3244

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.2615        | 1.0   | 7200  | 0.6766          |
| 0.1749        | 2.0   | 14400 | 0.3244          |
| 0.193         | 3.0   | 21600 | 0.7100          |
| 0.2011        | 4.0   | 28800 | 0.7925          |
| 0.3941        | 5.0   | 36000 | 0.5756          |
| 0.9186        | 6.0   | 43200 | 0.6578          |
| 0.1284        | 7.0   | 50400 | 0.5366          |
| 0.0936        | 8.0   | 57600 | 0.4243          |
| 0.0937        | 9.0   | 64800 | 0.6618          |
| 0.055         | 10.0  | 72000 | 0.6119          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1