---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: AdaptLLM/law-LLM
model-index:
- name: Adapt-law-lawbot
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Adapt-law-lawbot

This model is a fine-tuned version of [AdaptLLM/law-LLM](https://huggingface.co/AdaptLLM/law-LLM) on the generator dataset.

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2

### Training results



### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2