judicial-summarization-llama-3-finetuned_FL

Hiranmai49/judicial-summarization-llama-3-finetuned_FL

judicial-summarization-llama-3-finetuned_FL 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. --

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Repo size

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Hugging Face

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At a glance

Library: peft
License: llama3
Access: Public
Created: Sep 11, 2024
Updated: Sep 11, 2024
SHA: 1b5a96ae

Base models

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

Model card

From the Hugging Face model README

judicial-summarization-llama-3-finetuned_FL

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: 1.7191

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
1.357	1.0	726	1.4384
1.449	2.0	1452	1.4221
1.1707	3.0	2178	1.4453
1.0099	4.0	2904	1.5047
0.9094	5.0	3630	1.5998
0.7842	6.0	4356	1.7191

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 11, 2024
Updated: Sep 11, 2024