61 lines
1.3 KiB
Markdown
61 lines
1.3 KiB
Markdown
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---
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license: llama2
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tags:
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- llama-factory
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- legal
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base_model: sudipto-ducs/InLegalLLaMA
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model-index:
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- name: sudipto-ducs/InLegalLLaMA-Instruct
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results: []
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language:
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- en
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pipeline_tag: table-question-answering
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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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# InLegalLLaMA-Instruct
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This model is a fine-tuned version of [sudipto-ducs/InLegalLLaMA](https://huggingface.co/sudipto-ducs/InLegalLLaMA) on the legalkg_dataset_prompts, the legal_semantic_segmentation and the lima datasets.
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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: 3e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.39.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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