| | --- |
| | library_name: transformers |
| | license: llama3 |
| | base_model: meta-llama/Meta-Llama-3-8B-Instruct |
| | tags: |
| | - alignment-handbook |
| | - trl |
| | - simpo |
| | - generated_from_trainer |
| | - trl |
| | - simpo |
| | - generated_from_trainer |
| | datasets: |
| | - princeton-nlp/llama3-ultrafeedback-armorm |
| | model-index: |
| | - name: simpo-exps |
| | 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-exps |
| |
|
| | This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the princeton-nlp/llama3-ultrafeedback-armorm dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.1745 |
| | - Rewards/chosen: -17.4859 |
| | - Rewards/rejected: -23.5403 |
| | - Rewards/accuracies: 0.8435 |
| | - Rewards/margins: 6.0544 |
| | - Logps/rejected: -2.3540 |
| | - Logps/chosen: -1.7486 |
| | - Logits/rejected: -1.5014 |
| | - Logits/chosen: -1.4906 |
| |
|
| | ## 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: 1e-06 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 4 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 128 |
| | - total_eval_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 1 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
| | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | | 1.1882 | 0.8550 | 400 | 1.1795 | -17.3452 | -23.3517 | 0.8435 | 6.0065 | -2.3352 | -1.7345 | -1.4942 | -1.4832 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.2 |
| | - Pytorch 2.2.2+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.19.1 |
| | |
