Llawma-sum-2-7b-chat

W3bsurf/Llawma-sum-2-7b-chat

Llawma-sum-2-7b-chat is a machine learning model from W3bsurf. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the dreamproit/billsummaryus dataset. It achieves the following results on the evaluation set: - Loss: 0.7163

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Public

Updated Dec 11, 2023

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649 MB

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Hugging Face

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At a glance

Access: Public
Created: Dec 2, 2023
Updated: Dec 11, 2023
SHA: 07f027cf

Base models

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

Datasets

dreamproit/bill_summary_us

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the dreamproit/bill_summary_us dataset. It achieves the following results on the evaluation set:

Loss: 0.7163

Model description

Model has been fine-tuned from llama 2 7B chat model for legal summarization tasks.

Intended uses & limitations

The model has been fine-tuned with legal summarization text for summarization tasks. Can produce repeating text when creating longer outputs. Tested only with english and the bill_summary_us dataset.

Training procedure

SFTTrainer from Hugging Face's TRL library used for fine-tuning process.

Training hyperparameters

The following hyperparameters were used during training:

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

Training results

Training Loss	Epoch	Step	Validation Loss
0.8263	0.24	70	0.7693
0.6035	0.48	140	0.7467
0.845	0.72	210	0.7347
0.5782	0.96	280	0.7163

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

license

Languages: en
Created: Dec 2, 2023
Updated: Dec 11, 2023