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 | |