metadata
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_sft_sg_values
results: []
Qwen2.5-7B_sft_sg_values
This model is a fine-tuned version of Qwen/Qwen2.5-7B-Instruct on the sft_sg_values dataset. It achieves the following results on the evaluation set:
- Loss: 0.1499
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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6276 | 0.1869 | 250 | 0.5305 |
| 0.2889 | 0.3738 | 500 | 0.2433 |
| 0.1926 | 0.5607 | 750 | 0.1771 |
| 0.1655 | 0.7477 | 1000 | 0.1565 |
| 0.1353 | 0.9346 | 1250 | 0.1506 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.1
- Pytorch 2.6.0+cu124
- Datasets 2.21.0
- Tokenizers 0.21.1