| | --- |
| | library_name: transformers |
| | license: llama3.1 |
| | base_model: mlfoundations-dev/evol_tt_5s |
| | tags: |
| | - llama-factory |
| | - full |
| | - trl |
| | - dpo |
| | - llama-factory |
| | - generated_from_trainer |
| | model-index: |
| | - name: simpo-evol_tt_5s |
| | 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-evol_tt_5s |
| |
|
| | This model is a fine-tuned version of [mlfoundations-dev/evol_tt_5s](https://huggingface.co/mlfoundations-dev/evol_tt_5s) on the mlfoundations-dev/gemma2-ultrafeedback-armorm dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.4559 |
| | - Rewards/chosen: -44.7747 |
| | - Rewards/rejected: -52.1235 |
| | - Rewards/accuracies: 0.8001 |
| | - Rewards/margins: 7.3488 |
| | - Logps/chosen: -4.4775 |
| | - Logps/rejected: -5.2123 |
| | - Logits/chosen: -0.9505 |
| | - Logits/rejected: -0.9573 |
| |
|
| | ## 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 | |
| | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:------------:|:--------------:|:-------------:|:---------------:| |
| | | 2.838 | 0.9997 | 442 | 2.4559 | -44.7747 | -52.1235 | 0.8001 | 7.3488 | -4.4775 | -5.2123 | -0.9505 | -0.9573 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.46.1 |
| | - Pytorch 2.3.0 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.20.3 |
| | |
