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library_name: peft
license: apache-2.0
base_model: Qwen/Qwen3-1.7B
tags:
- base_model:adapter:Qwen/Qwen3-1.7B
- transformers
pipeline_tag: text-generation
model-index:
- name: Qwen3-1.7B-tuned
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. -->
# Qwen3-1.7B-tuned
This model is a fine-tuned version of [Qwen/Qwen3-1.7B](https://huggingface.co/Qwen/Qwen3-1.7B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6231
- Perplexity: 5.0689
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.003
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Use OptimizerNames.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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Perplexity |
|:-------------:|:------:|:----:|:---------------:|:----------:|
| No log | 0 | 0 | 6.3047 | 547.1235 |
| No log | 0.6011 | 333 | 1.8454 | 6.3306 |
| 1.9738 | 1.2022 | 666 | 1.7511 | 5.7610 |
| 1.9738 | 1.8032 | 999 | 1.6936 | 5.4388 |
| 1.7084 | 2.4043 | 1332 | 1.6532 | 5.2239 |
| 1.7084 | 3 | 1664 | 1.6231 | 5.0689 |
### Framework versions
- PEFT 0.16.0
- Transformers 4.54.1
- Pytorch 2.7.1+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4 |