---
library_name: transformers
license: other
base_model: DongfuJiang/Qwen2.5-0.5B-Instruct
tags:
- llama-factory
- freeze
- generated_from_trainer
model-index:
- name: qwen2_chunking_mlp_freeze_uniform_with_shared_start_sft
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# qwen2_chunking_mlp_freeze_uniform_with_shared_start_sft

This model is a fine-tuned version of [DongfuJiang/Qwen2.5-0.5B-Instruct](https://huggingface.co/DongfuJiang/Qwen2.5-0.5B-Instruct) on the wikitext-103-v1 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9502

## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 4.107         | 0.5867 | 500  | 4.0980          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 2.18.0
- Tokenizers 0.20.3