---
base_model: Qwen/Qwen2-1.5B-Instruct
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: qwen2-mini
  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. -->

# qwen2-mini

This model is a fine-tuned version of [Qwen/Qwen2-1.5B-Instruct](https://huggingface.co./Qwen/Qwen2-1.5B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5767

## 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: 8e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 1.6194        | 0.9999 | 3554  | 1.6113          |
| 1.7475        | 2.0    | 7109  | 1.5795          |
| 1.7635        | 2.9999 | 10663 | 1.5768          |
| 1.8058        | 3.9994 | 14216 | 1.5767          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1