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---
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: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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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 None dataset.
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 |