---
license: apache-2.0
base_model: distilroberta-base
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-finetuned-rightarticles-mlm-epochier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilroberta-base-finetuned-rightarticles-mlm-epochier

This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6927

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9628        | 1.0   | 806  | 1.7725          |
| 1.8591        | 2.0   | 1612 | 1.7438          |
| 1.8011        | 3.0   | 2418 | 1.7308          |
| 1.7628        | 4.0   | 3224 | 1.7214          |
| 1.7353        | 5.0   | 4030 | 1.7147          |
| 1.6951        | 6.0   | 4836 | 1.6986          |
| 1.6592        | 7.0   | 5642 | 1.6819          |
| 1.6549        | 8.0   | 6448 | 1.6776          |
| 1.6516        | 9.0   | 7254 | 1.6647          |
| 1.6296        | 10.0  | 8060 | 1.6840          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2