--- library_name: transformers license: llama3.2 language: - hu base_model: - meta-llama/Llama-3.2-1B-Instruct --- # Model Card for Llama-3.2-1B-HuAMR ## Model Details ### Model Description This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the None dataset. It achieves the following results on the evaluation set: - **Model type:** Abstract Meaning Representation parser - **Language(s) (NLP):** Hungarian ### Model Sources [optional] - **Repository:** [GitHub Repo](https://github.com/botondbarta/HuAMR) ## Training Details ### Training Procedure #### Training Hyperparameters - learning_rate: 5e-05 - train_batch_size: 1 - gradient_accumulation_steps: 16 - total_train_batch_size: 16 - optimizer: AdamW - lr_scheduler_type: linear - max_grad_norm: 0.3 #### Metrics [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] ## Framework versions - Transformers 4.34.1 - Pytorch 2.3.0+cu118 - Datasets 2.19.0 - Tokenizers 0.19.1