---
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-1.5B-Instruct
tags:
- generated_from_trainer
model-index:
- name: Qwen2.5-1.5B-Instruct-finetune-ru-news-lora
  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. -->

# Qwen2.5-1.5B-Instruct-finetune-ru-news-lora

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 None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5295
- Perplexity: 4.6645

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 111
- gradient_accumulation_steps: 8
- 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: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Perplexity |
|:-------------:|:-------:|:----:|:---------------:|:----------:|
| No log        | 0       | 0    | 1.7086          | 5.5805     |
| 1.5638        | 1.0     | 75   | 1.6235          | 5.1242     |
| 1.6127        | 2.0     | 150  | 1.5856          | 4.9323     |
| 1.6656        | 3.0     | 225  | 1.5689          | 4.8497     |
| 1.6207        | 4.0     | 300  | 1.5578          | 4.7967     |
| 1.5559        | 5.0     | 375  | 1.5510          | 4.7642     |
| 1.5766        | 6.0     | 450  | 1.5463          | 4.7420     |
| 1.5744        | 7.0     | 525  | 1.5428          | 4.7257     |
| 1.5892        | 8.0     | 600  | 1.5401          | 4.7129     |
| 1.4133        | 9.0     | 675  | 1.5378          | 4.7022     |
| 1.6007        | 10.0    | 750  | 1.5360          | 4.6939     |
| 1.6776        | 11.0    | 825  | 1.5345          | 4.6872     |
| 1.4363        | 12.0    | 900  | 1.5332          | 4.6814     |
| 1.3633        | 13.0    | 975  | 1.5323          | 4.6771     |
| 1.4944        | 14.0    | 1050 | 1.5314          | 4.6730     |
| 1.4514        | 15.0    | 1125 | 1.5308          | 4.6703     |
| 1.4892        | 16.0    | 1200 | 1.5303          | 4.6681     |
| 1.3994        | 17.0    | 1275 | 1.5299          | 4.6664     |
| 1.507         | 18.0    | 1350 | 1.5296          | 4.6651     |
| 1.4906        | 19.0    | 1425 | 1.5295          | 4.6645     |
| 1.4982        | 19.7383 | 1480 | 1.5295          | 4.6645     |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0