---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-1.5B
tags:
- generated_from_trainer
model-index:
- name: Qwen2.5-1.5B_DS-Qwen-1.5B_0p0_1p0_0p0_sft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Qwen2.5-1.5B_DS-Qwen-1.5B_0p0_1p0_0p0_sft

This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B) on an unknown dataset.

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAFACTOR and the args are:
No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results



### Framework versions

- Transformers 4.53.2
- Pytorch 2.7.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2