| | --- |
| | library_name: peft |
| | license: other |
| | base_model: /root/autodl-fs/Qwen2.5-7B-Instruct |
| | tags: |
| | - llama-factory |
| | - lora |
| | - generated_from_trainer |
| | model-index: |
| | - name: stage1_cap_func |
| | 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. --> |
| |
|
| | # stage1_cap_func |
| |
|
| | This model is a fine-tuned version of [/root/autodl-fs/Qwen2.5-7B-Instruct](https://huggingface.co//root/autodl-fs/Qwen2.5-7B-Instruct) on the textui-caption2k and the textui-function6k datasets. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.4610 |
| |
|
| | ## 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: 3 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 96 |
| | - total_eval_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: cosine |
| | - lr_scheduler_warmup_steps: 25 |
| | - training_steps: 250 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 0.6383 | 0.2436 | 25 | 0.6979 | |
| | | 0.5722 | 0.4872 | 50 | 0.6059 | |
| | | 0.5268 | 0.7308 | 75 | 0.5485 | |
| | | 0.492 | 0.9744 | 100 | 0.5159 | |
| | | 0.4719 | 1.2241 | 125 | 0.4990 | |
| | | 0.4031 | 1.4677 | 150 | 0.4809 | |
| | | 0.3825 | 1.7113 | 175 | 0.4702 | |
| | | 0.3944 | 1.9549 | 200 | 0.4625 | |
| | | 0.3411 | 2.2046 | 225 | 0.4616 | |
| | | 0.3588 | 2.4482 | 250 | 0.4610 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.15.1 |
| | - Transformers 4.51.3 |
| | - Pytorch 2.7.0+cu126 |
| | - Datasets 3.5.0 |
| | - Tokenizers 0.21.1 |
