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---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: Qwen2.5-7B-Instruct-PsyCourse-doc-fold9
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. -->
# Qwen2.5-7B-Instruct-PsyCourse-doc-fold9
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the course-doc-train-fold9 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0695
## 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: 16
- total_train_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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.2634 | 0.3951 | 10 | 0.1889 |
| 0.1843 | 0.7901 | 20 | 0.1188 |
| 0.0905 | 1.1852 | 30 | 0.0901 |
| 0.0487 | 1.5802 | 40 | 0.0801 |
| 0.0796 | 1.9753 | 50 | 0.0756 |
| 0.0814 | 2.3704 | 60 | 0.0734 |
| 0.1069 | 2.7654 | 70 | 0.0720 |
| 0.1258 | 3.1605 | 80 | 0.0706 |
| 0.0816 | 3.5556 | 90 | 0.0701 |
| 0.0711 | 3.9506 | 100 | 0.0696 |
| 0.0574 | 4.3457 | 110 | 0.0695 |
| 0.0956 | 4.7407 | 120 | 0.0695 |
### Framework versions
- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3 |