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

# Model

This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the finance_qa_train dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3503

## 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- 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: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.7185        | 0.1221 | 50   | 0.4380          |
| 0.9345        | 0.2442 | 100  | 0.4109          |
| 0.3584        | 0.3663 | 150  | 0.3940          |
| 0.6376        | 0.4884 | 200  | 0.3822          |
| 0.7135        | 0.6105 | 250  | 0.3672          |
| 0.5756        | 0.7326 | 300  | 0.3557          |
| 0.4457        | 0.8547 | 350  | 0.3516          |
| 0.5859        | 0.9768 | 400  | 0.3502          |
| 0.6935        | 1.0    | 410  | 0.3503          |


### Framework versions

- PEFT 0.18.1
- Transformers 5.6.0
- Pytorch 2.11.0+cu128
- Datasets 3.2.0
- Tokenizers 0.22.2