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| tags: | |
| - generated_from_trainer | |
| language: | |
| - grc | |
| model-index: | |
| - name: dioBERTo | |
| results: [] | |
| widget: | |
| - text: "Πλάτων ὁ Περικτιόνης <mask> γένος ἀνέφερεν εἰς Σόλωνα." | |
| - text: "ὁ Κριτίας ἀπέβλεψε <mask> τὴν θύραν." | |
| - text: "Ὦ φίλε Κλεινία, καλῶς μὲν <mask>." | |
| --- | |
| <!-- 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. --> | |
| # axiothea | |
| This is an experimental roberta model trained with an ancient Greek corpus of about 900 MB, which was scrapped from the web and post-processed. Duplicate texts and editorial punctuation were removed. The training dataset will be soon available in the Huggingface datasets hub. Training a model of ancient Greek is challenging given that it is a low resource language from which 50% of the register has only survived in fragmentary texts. The model is provided by the Diogenet project at the University of California, San Diego. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 3.3351 | |
| ## 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 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 10.0 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:-------:|:---------------:| | |
| | 4.7013 | 1.0 | 341422 | 4.8813 | | |
| | 4.2866 | 2.0 | 682844 | 4.4422 | | |
| | 4.0496 | 3.0 | 1024266 | 4.2132 | | |
| | 3.8503 | 4.0 | 1365688 | 4.0246 | | |
| | 3.6917 | 5.0 | 1707110 | 3.8756 | | |
| | 3.4917 | 6.0 | 2048532 | 3.7381 | | |
| | 3.3907 | 7.0 | 2389954 | 3.6107 | | |
| | 3.2876 | 8.0 | 2731376 | 3.5044 | | |
| | 3.1994 | 9.0 | 3072798 | 3.3980 | | |
| | 3.0806 | 10.0 | 3414220 | 3.3095 | | |
| ### Framework versions | |
| - Transformers 4.13.0.dev0 | |
| - Pytorch 1.10.0+cu102 | |
| - Datasets 1.14.0 | |
| - Tokenizers 0.10.3 | |