---
license: apache-2.0
base_model: Qwen/Qwen2-0.5B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: llm2vec-Qwen2-0.5B-shopping-Quar-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

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

This model is a fine-tuned version of [Qwen/Qwen2-0.5B](https://huggingface.co/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