---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
tags:
- base_model:adapter:Qwen/Qwen2.5-Coder-1.5B-Instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: cyber_model_TA
  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. -->

# cyber_model_TA

This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3398

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.6269        | 0.3339 | 50   | 0.5233          |
| 0.4874        | 0.6678 | 100  | 0.4507          |
| 0.5023        | 1.0    | 150  | 0.4133          |
| 0.3874        | 1.3339 | 200  | 0.3949          |
| 0.312         | 1.6678 | 250  | 0.3806          |
| 0.2976        | 2.0    | 300  | 0.3520          |
| 0.2021        | 2.3339 | 350  | 0.3579          |
| 0.2143        | 2.6678 | 400  | 0.3415          |
| 0.2198        | 3.0    | 450  | 0.3398          |


### Framework versions

- PEFT 0.18.1
- Transformers 4.57.5
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.2