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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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