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