| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: Qwen/Qwen2.5-Coder-7B-Instruct |
| tags: |
| - llama-factory |
| - generated_from_trainer |
| model-index: |
| - name: prm_qwen25_coder_version3_subsample_hf |
| 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. --> |
|
|
| # prm_qwen25_coder_version3_subsample_hf |
| |
| This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1428 |
| |
| ## 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: 5e-06 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 64 |
| - total_eval_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.05 |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.1991 | 0.1127 | 500 | 0.1923 | |
| | 0.1785 | 0.2253 | 1000 | 0.1767 | |
| | 0.1513 | 0.3380 | 1500 | 0.1663 | |
| | 0.1557 | 0.4506 | 2000 | 0.1581 | |
| | 0.1425 | 0.5633 | 2500 | 0.1521 | |
| | 0.1417 | 0.6759 | 3000 | 0.1473 | |
| | 0.148 | 0.7886 | 3500 | 0.1442 | |
| | 0.1278 | 0.9012 | 4000 | 0.1428 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.45.0 |
| - Pytorch 2.5.1+cu124 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
|
|
