judicial-summarization-Mistral-finetuned_FL

Hiranmai49/judicial-summarization-Mistral-finetuned_FL

judicial-summarization-Mistral-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 apache-2.0.

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

Downloads · 30 days

6% of all-time downloads

All-time downloads

108

Public

Repo size

1.2 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors168 MB · 98%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Sep 12, 2024
Updated: Sep 12, 2024
SHA: 30d62378

Base models

unsloth/mistral-7b-v0.3-bnb-4bit

Model card

From the Hugging Face model README

judicial-summarization-Mistral-finetuned_FL

This model is a fine-tuned version of unsloth/mistral-7b-v0.3-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.8494

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
1.1209	1.0	726	1.2393
1.2144	2.0	1452	1.2337
0.9173	3.0	2178	1.2850
0.694	4.0	2904	1.4016
0.4992	5.0	3630	1.5871
0.3276	6.0	4356	1.8494

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: apache-2.0
Created: Sep 12, 2024
Updated: Sep 12, 2024