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--- |
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tags: |
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- generated_from_trainer |
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language: |
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- grc |
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model-index: |
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- name: dioBERTo |
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results: [] |
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widget: |
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- text: "Πλάτων ὁ Περικτιόνης <mask> γένος ἀνέφερεν εἰς Σόλωνα." |
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- text: "ὁ Κριτίας ἀπέβλεψε <mask> τὴν θύραν." |
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- text: "Ὦ φίλε Κλεινία, καλῶς μὲν <mask>." |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# axiothea |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.3351 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-------:|:---------------:| |
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| 4.7013 | 1.0 | 341422 | 4.8813 | |
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| 4.2866 | 2.0 | 682844 | 4.4422 | |
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| 4.0496 | 3.0 | 1024266 | 4.2132 | |
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| 3.8503 | 4.0 | 1365688 | 4.0246 | |
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| 3.6917 | 5.0 | 1707110 | 3.8756 | |
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| 3.4917 | 6.0 | 2048532 | 3.7381 | |
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| 3.3907 | 7.0 | 2389954 | 3.6107 | |
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| 3.2876 | 8.0 | 2731376 | 3.5044 | |
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| 3.1994 | 9.0 | 3072798 | 3.3980 | |
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| 3.0806 | 10.0 | 3414220 | 3.3095 | |
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### Framework versions |
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- Transformers 4.13.0.dev0 |
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- Pytorch 1.10.0+cu102 |
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- Datasets 1.14.0 |
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- Tokenizers 0.10.3 |
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