---
library_name: transformers
license: other
base_model: Qwen/Qwen2-7B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: ideaassistant_qwen2_7b
  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. -->

# ideaassistant_qwen2_7b

This model is a fine-tuned version of [Qwen/Qwen2-7B-Instruct](https://huggingface.co/Qwen/Qwen2-7B-Instruct) on the idea_sharegpt_format dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4394

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.0484        | 0.0955 | 200  | 1.0037          |
| 0.9828        | 0.1910 | 400  | 0.9110          |
| 0.8785        | 0.2865 | 600  | 0.8167          |
| 0.7863        | 0.3820 | 800  | 0.7238          |
| 0.7073        | 0.4776 | 1000 | 0.6407          |
| 0.6143        | 0.5731 | 1200 | 0.5672          |
| 0.5726        | 0.6686 | 1400 | 0.5096          |
| 0.5623        | 0.7641 | 1600 | 0.4683          |
| 0.5206        | 0.8596 | 1800 | 0.4465          |
| 0.5054        | 0.9551 | 2000 | 0.4396          |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.0