judicial-summarization-llama-3-finetuned

Hiranmai49/judicial-summarization-llama-3-finetuned

judicial-summarization-llama-3-finetuned is a machine learning model from Hiranmai49. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

13% of all-time downloads

All-time downloads

Public

Repo size

1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors168 MB · 95%

At a glance

Library: peft
License: llama3
Access: Public
Created: Sep 10, 2024
Updated: Sep 10, 2024
SHA: 3c1b1ef1

Base models

unsloth/llama-3-8b-bnb-4bit

Model card

From the Hugging Face model README

judicial-summarization-llama-3-finetuned

This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.0076

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: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
1.6197	0.9993	696	1.6757
1.5115	2.0	1393	1.6700
1.583	2.9993	2089	1.7025
1.3133	4.0	2786	1.7708
0.9935	4.9993	3482	1.8802
1.0666	5.9957	4176	2.0076

Framework versions

PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1

Library: peft
License: llama3
Created: Sep 10, 2024
Updated: Sep 10, 2024