NLI-Lora-Fine-Tuning-ClearFinalProperTrueFinal

m4faisal/NLI-Lora-Fine-Tuning-ClearFinalProperTrueFinal

NLI-Lora-Fine-Tuning-ClearFinalProperTrueFinal is a machine learning model from m4faisal. 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

8% of all-time downloads

All-time downloads

Public

Repo size

819 KB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.json2.3 MB · 73%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Mar 15, 2024
Updated: Mar 15, 2024
SHA: caff9251

Base models

Model card

From the Hugging Face model README

NLI-Lora-Fine-Tuning-ClearFinalProperTrueFinal

This model is a fine-tuned version of albert-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0940
Accuracy: 0.3747

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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	32	1.1176	0.3442
No log	2.0	64	1.0955	0.3615
No log	3.0	96	1.0940	0.3747

Framework versions

PEFT 0.9.0
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Mar 15, 2024
Updated: Mar 15, 2024