judicial-summarization-Mistral-finetuned_mildsum_TR

Hiranmai49/judicial-summarization-Mistral-finetuned_mildsum_TR

judicial-summarization-Mistral-finetuned_mildsum_TR 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. --

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At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Sep 13, 2024
Updated: Sep 13, 2024
SHA: f29896de

Base models

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

Model card

From the Hugging Face model README

judicial-summarization-Mistral-finetuned_mildsum_TR

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: 2.1717

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
1.3063	1.0	273	1.4469
1.1546	2.0	546	1.4614
1.0607	3.0	819	1.5200
0.7531	4.0	1092	1.6634
0.5051	5.0	1365	1.8932
0.2262	6.0	1638	2.1717

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 13, 2024
Updated: Sep 13, 2024