---
license: apache-2.0
base_model: distilroberta-base
tags:
- text-classification
- generated_from_trainer
metrics:
- accuracy
- f1
widget: 
- text: Hello my friends, nice to see you all., Hi, Its good to see you.
example_title: Equivalent
model-index:
- name: destilroberta-base-mrpc-glue-ces
  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. -->

# destilroberta-base-mrpc-glue-ces

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the guel and the mrpc datasets.
It achieves the following results on the evaluation set:
- Loss: 0.4664
- Accuracy: 0.8162
- F1: 0.8718

## 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
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5436        | 1.09  | 500  | 0.4664          | 0.8162   | 0.8718 |
| 0.3757        | 2.18  | 1000 | 0.6894          | 0.8162   | 0.8629 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0