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--- |
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library_name: transformers |
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tags: [] |
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--- |
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# Model Card for mT5-large-HuAMR |
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<!-- Provide a quick summary of what the model is/does. --> |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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This model is a fine-tuned version of google/mt5-large on the None dataset. It achieves the following results on the evaluation set: |
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- **Model type:** Abstract Meaning Representation parser |
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- **Language(s) (NLP):** Hungarian |
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### Model Sources [optional] |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** https://github.com/botondbarta/HuAMR/tree/master/huamr |
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## Training Details |
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### Training Data |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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[More Information Needed] |
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### Training Procedure |
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
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#### Training Hyperparameters |
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- **Training regime:** [More Information Needed] <!--fp32 --> |
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#### Metrics |
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<!-- These are the evaluation metrics being used, ideally with a description of why. --> |
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[More Information Needed] |
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### Results |
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[More Information Needed] |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
