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