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---
tags:
- generated_from_trainer
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
config: null
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 fine-tuned version of [](https://huggingface.co/) on the dataset/wiki_oscar_combined_normalized_uncased dataset.
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
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