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

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Safetensors

Model size

7B params

Tensor type

F16

Model tree for sudipto-ducs/InLegalLLaMA-Instruct

Base model

meta-llama/Llama-2-7b-hf

Finetuned

sudipto-ducs/InLegalLLaMA

Finetuned

(1)

this model