---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-32B
tags:
- llama-factory
- lora
- generated_from_trainer
model-index:
- name: pretrain
  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. -->

# pretrain

This model is a fine-tuned version of [Qwen/Qwen2.5-32B](https://huggingface.co/Qwen/Qwen2.5-32B) on the openreview dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1076

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 4
- 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: 1.0

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.2155        | 0.1604 | 100  | 1.2046          |
| 1.1392        | 0.3209 | 200  | 1.1238          |
| 1.1181        | 0.4813 | 300  | 1.1140          |
| 1.1252        | 0.6418 | 400  | 1.1097          |
| 1.1199        | 0.8022 | 500  | 1.1079          |
| 1.1104        | 0.9627 | 600  | 1.1075          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.46.1
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3