README.md

metadata

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

greek-longformer-base-4096-uncased

This model is a Longformer model version based on 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