---
base_model: Qwen/Qwen2-1.5B-Instruct
library_name: peft
license: apache-2.0
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: test0901-5
  results: []
---

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# test0901-5

This model is a fine-tuned version of [Qwen/Qwen2-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B-Instruct) on the identity and the alpaca_en_demo datasets.
It achieves the following results on the evaluation set:
- Loss: 1.8424

## 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: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.0082 | 1    | 2.0249          |
| No log        | 0.0163 | 2    | 2.0155          |
| No log        | 0.0245 | 3    | 1.9926          |
| No log        | 0.0326 | 4    | 1.9594          |
| No log        | 0.0408 | 5    | 1.9194          |
| No log        | 0.0489 | 6    | 1.8850          |
| No log        | 0.0571 | 7    | 1.8630          |
| No log        | 0.0652 | 8    | 1.8497          |
| No log        | 0.0734 | 9    | 1.8417          |
| 1.6809        | 0.0815 | 10   | 1.8424          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1