| --- |
| library_name: transformers |
| license: llama3.1 |
| base_model: mlfoundations-dev/stackoverflow_25000tasks_1p |
| tags: |
| - llama-factory |
| - full |
| - trl |
| - dpo |
| - llama-factory |
| - generated_from_trainer |
| model-index: |
| - name: simpo-stackoverflow_25000tasks_1p |
| 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. --> |
|
|
| # simpo-stackoverflow_25000tasks_1p |
|
|
| This model is a fine-tuned version of [mlfoundations-dev/stackoverflow_25000tasks_1p](https://huggingface.co/mlfoundations-dev/stackoverflow_25000tasks_1p) on the mlfoundations-dev/gemma2-ultrafeedback-armorm dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.5764 |
| - Rewards/chosen: -41.7245 |
| - Rewards/rejected: -48.5194 |
| - Rewards/accuracies: 0.7931 |
| - Rewards/margins: 6.7950 |
| - Logps/chosen: -4.1724 |
| - Logps/rejected: -4.8519 |
| - Logits/chosen: -1.0221 |
| - Logits/rejected: -1.0402 |
|
|
| ## 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: 8e-07 |
| - train_batch_size: 2 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 128 |
| - total_eval_batch_size: 16 |
| - 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: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 1.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/chosen | Logps/rejected | Logits/chosen | Logits/rejected | |
| |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:-------------:|:---------------:| |
| | 2.8273 | 0.9997 | 442 | 2.5764 | -41.7245 | -48.5194 | 0.7931 | 6.7950 | -4.1724 | -4.8519 | -1.0221 | -1.0402 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.1 |
| - Pytorch 2.3.0 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
| |
