| language: | |
| - el | |
| tags: | |
| - text | |
| - language-modeling | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: greek-media-longformer-base-4096-uncased | |
| results: [] | |
| # Greek Media Longformer | |
| This model is a second-stage pretrained version of [dimitriz/greek-longformer-base-4096](https://huggingface.co/dimitriz/greek-longformer-base-4096) trained on the [dimitriz/greek_media_texts](https://huggingface.co/datasets/dimitriz/greek_media_texts) dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.1424 | |
| - Accuracy: 0.7574 | |
| ## 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 | |
| ## Citing & Authors | |
| The model has been officially released with the article "From Pre-training to Meta-Learning: A journey in Low-Resource-Language Representation Learning". | |
| Dimitrios Zaikis and Ioannis Vlahavas. | |
| In: IEEE Access. | |
| If you use the model, please cite the following: | |
| ```bibtex | |
| @ARTICLE{10288436, | |
| author = {Zaikis, Dimitrios and Vlahavas, Ioannis}, | |
| journal = {IEEE Access}, | |
| title = {From Pre-training to Meta-Learning: A journey in Low-Resource-Language Representation Learning}, | |
| year = {2023}, | |
| volume = {}, | |
| number = {}, | |
| pages = {1-1}, | |
| doi = {10.1109/ACCESS.2023.3326337} | |
| } | |
| ``` | |