| | --- |
| | base_model: anthracite-org/magnum-v2-4b |
| | library_name: peft |
| | license: other |
| | tags: |
| | - llama-factory |
| | - lora |
| | - generated_from_trainer |
| | model-index: |
| | - name: magnum-4b-KTO-test |
| | 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. --> |
| |
|
| | # magnum-4b-KTO-test |
| |
|
| | This model is a fine-tuned version of [anthracite-org/magnum-v2-4b](https://huggingface.co/anthracite-org/magnum-v2-4b) on the combined_new_22k.json dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5030 |
| | - Rewards/chosen: 0.0007 |
| | - Logps/chosen: -11.2857 |
| | - Rewards/rejected: -0.0006 |
| | - Logps/rejected: -10.6547 |
| | - Rewards/margins: 0.0013 |
| | - Kl: 0.0009 |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - gradient_accumulation_steps: 48 |
| | - total_train_batch_size: 768 |
| | - total_eval_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_ratio: 0.01 |
| | - num_epochs: 2.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Rewards/margins | Kl | |
| | |:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---------------:|:------:| |
| | | 0.5042 | 0.2788 | 16 | 0.5038 | 0.0004 | -11.2884 | -0.0004 | -10.6529 | 0.0008 | 0.0022 | |
| | | 0.5037 | 0.5575 | 32 | 0.5033 | 0.0006 | -11.2865 | -0.0008 | -10.6565 | 0.0014 | 0.0013 | |
| | | 0.5035 | 0.8363 | 48 | 0.5041 | 0.0003 | -11.2899 | -0.0006 | -10.6546 | 0.0008 | 0.0016 | |
| | | 0.5037 | 1.1151 | 64 | 0.5035 | 0.0005 | -11.2872 | -0.0005 | -10.6540 | 0.0011 | 0.0017 | |
| | | 0.5036 | 1.3938 | 80 | 0.5036 | 0.0005 | -11.2874 | -0.0005 | -10.6535 | 0.0010 | 0.0010 | |
| | | 0.5032 | 1.6726 | 96 | 0.5035 | 0.0006 | -11.2867 | -0.0005 | -10.6541 | 0.0011 | 0.0012 | |
| | | 0.5036 | 1.9514 | 112 | 0.5037 | 0.0006 | -11.2869 | -0.0006 | -10.6546 | 0.0011 | 0.0009 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.12.0 |
| | - Transformers 4.45.0.dev0 |
| | - Pytorch 2.2.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
