---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B-Instruct
tags:
- generated_from_trainer
model-index:
- name: cyberone-20250516-q2505b-ep05-instruct
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cyberone-20250516-q2505b-ep05-instruct

This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0435

## 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: 2e-05
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 64
- total_train_batch_size: 8192
- total_eval_batch_size: 16
- 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_with_restarts
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.4804        | 0.7054 | 30   | 0.1997          |
| 0.1283        | 1.4232 | 60   | 0.0682          |
| 0.0668        | 2.1411 | 90   | 0.0588          |
| 0.0549        | 2.8464 | 120  | 0.0551          |
| 0.0627        | 3.5643 | 150  | 0.0640          |
| 0.0568        | 4.2821 | 180  | 0.0535          |
| 0.0454        | 4.9875 | 210  | 0.0435          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Tokenizers 0.21.1