llm2vec-Qwen2-0.5B-shopping-Quar-v2

youssefkhalil320/llm2vec-Qwen2-0.5B-shopping-Quar-v2

llm2vec-Qwen2-0.5B-shopping-Quar-v2 is a machine learning model from youssefkhalil320. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

Downloads · 30 days

Access

Public

Updated Sep 29, 2024

Repo size

1.8 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors35.2 MB · 75%

At a glance

License: apache-2.0
Access: Public
Created: Aug 16, 2024
Updated: Sep 29, 2024
SHA: 54466274

Base models

Qwen/Qwen2-0.5B

Model card

From the Hugging Face model README

llm2vec-Qwen2-0.5B-shopping-Quar-v2

This model is a fine-tuned version of Qwen/Qwen2-0.5B on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.1151
Accuracy: 0.4539

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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.4292	0.0510	1000	3.3647	0.4207
3.3217	0.1019	2000	3.2997	0.4283
3.274	0.1529	3000	3.2483	0.4345
3.2467	0.2038	4000	3.1933	0.4407
3.2093	0.2548	5000	3.1931	0.4439
3.1807	0.3057	6000	3.1661	0.4476
3.1978	0.3567	7000	3.1433	0.4486
3.161	0.4076	8000	3.1091	0.4539
3.1554	0.4586	9000	3.1044	0.4529
3.1405	0.5095	10000	3.1151	0.4539

Framework versions

Transformers 4.43.4
Pytorch 1.12.0+cu102
Datasets 2.20.0
Tokenizers 0.19.1

License: apache-2.0
Created: Aug 16, 2024
Updated: Sep 29, 2024