| | --- |
| | base_model: /cpfs01/user/zhangyiqun/models/gemma-2-2b-it |
| | library_name: peft |
| | license: other |
| | tags: |
| | - llama-factory |
| | - lora |
| | - generated_from_trainer |
| | model-index: |
| | - name: open_orca |
| | 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. --> |
| |
|
| | # open_orca |
| | |
| | This model is a fine-tuned version of [/cpfs01/user/zhangyiqun/models/gemma-2-2b-it](https://huggingface.co//cpfs01/user/zhangyiqun/models/gemma-2-2b-it) on the open_orca dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.0459 |
| |
|
| | ## 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: 0.0002 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 1 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 32 |
| | - 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: 0.1 |
| | - num_epochs: 5.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 0.9091 | 1.1344 | 1000 | 0.8941 | |
| | | 0.7524 | 2.2689 | 2000 | 0.9067 | |
| | | 0.7148 | 3.4033 | 3000 | 0.9693 | |
| | | 0.5743 | 4.5377 | 4000 | 1.0443 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.12.0 |
| | - Transformers 4.44.2 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 3.0.1 |
| | - Tokenizers 0.19.1 |
