metadata

license: mit
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: TheBloke/zephyr-7B-beta-GPTQ
model-index:
  - name: zephyr-finetuned-legal
    results: []
datasets:
  - joelniklaus/legal_case_document_summarization
pipeline_tag: text-generation

zephyr-finetuned-legal

This model is a fine-tuned version of TheBloke/zephyr-7B-beta-GPTQ on the joelniklaus/legal_case_document_summarization 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: 6
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
training_steps: 250
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.7.1
Transformers 4.36.0
Pytorch 2.0.0
Datasets 2.16.1
Tokenizers 0.15.0