metadata
library_name: peft
license: apache-2.0
base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
tags:
- base_model:adapter:Qwen/Qwen2.5-Coder-1.5B-Instruct
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: SFT-Qwen2.5-Coder-1.5B_v1.1
results: []
SFT-Qwen2.5-Coder-1.5B_v1.1
This model is a fine-tuned version of Qwen/Qwen2.5-Coder-1.5B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9464
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1739 | 0.2759 | 20 | 1.1330 |
| 0.8905 | 0.5517 | 40 | 1.0622 |
| 0.9773 | 0.8276 | 60 | 1.0305 |
| 0.8092 | 1.0966 | 80 | 1.0049 |
| 0.7883 | 1.3724 | 100 | 0.9816 |
| 0.7641 | 1.6483 | 120 | 0.9676 |
| 0.79 | 1.9241 | 140 | 0.9591 |
| 0.8975 | 2.1931 | 160 | 0.9538 |
| 0.7537 | 2.4690 | 180 | 0.9526 |
| 0.6484 | 2.7448 | 200 | 0.9464 |
Framework versions
- PEFT 0.18.0
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1