---
language:
  - el
tags:
  - text
  - language-modeling
datasets:
  - dataset/wiki_oscar_combined_normalized_uncased
metrics:
  - accuracy
model-index:
  - name: greek-longformer-base-4096-uncased
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask
        dataset:
          name: dataset/wiki_oscar_combined_normalized_uncased
          type: dataset/wiki_oscar_combined_normalized_uncased
          split: None
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.7765486725663717
---

<!-- 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. -->

# greek-longformer-base-4096-uncased

This model is a Longformer model version based on [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) trained on the dataset/wiki_oscar_combined_normalized_uncased dataset from scratch.
It achieves the following results on the evaluation set:

- Loss: 1.1080
- Accuracy: 0.7765

## 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
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6.0

### Training results

### Framework versions

- Transformers 4.28.0.dev0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.2