| | --- |
| | license: llama3 |
| | base_model: meta-llama/Meta-Llama-3-8B-Instruct |
| | tags: |
| | - alignment-handbook |
| | - generated_from_trainer |
| | datasets: |
| | - princeton-nlp/llama3-ultrafeedback |
| | model-index: |
| | - name: llama-3-8b-instruct-simpo |
| | 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. --> |
| |
|
| | # llama-3-8b-instruct-simpo |
| |
|
| | 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 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.7528 |
| | - Original Losses: 2.0491 |
| | - Weight: 0.3713 |
| | - Abs Diff: 3.1759 |
| | - Rewards/chosen: -45.3959 |
| | - Rewards/rejected: -50.3664 |
| | - Rewards/accuracies: 0.6976 |
| | - Rewards/margins: 4.9705 |
| | - Logps/rejected: -20.1465 |
| | - Logps/chosen: -18.1584 |
| | - Logits/rejected: 1.8309 |
| | - Logits/chosen: 1.7177 |
| | - All Logps 1: -7614.6904 |
| | - All Logps 1 Values: -7614.6909 |
| | - All Logps 2: 414.8609 |
| | - All Logps 2 Values: 414.8609 |
| |
|
| | ## 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: 8 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 128 |
| | - total_eval_batch_size: 32 |
| | - 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 | Original Losses | Weight | Abs Diff | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | All Logps 1 | All Logps 1 Values | All Logps 2 | All Logps 2 Values | |
| | |:-------------:|:------:|:----:|:---------------:|:---------------:|:------:|:--------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:-----------:|:------------------:|:-----------:|:------------------:| |
| | | 0.7506 | 0.8549 | 400 | 0.7528 | 2.0491 | 0.3713 | 3.1759 | -45.3959 | -50.3664 | 0.6976 | 4.9705 | -20.1465 | -18.1584 | 1.8309 | 1.7177 | -7614.6904 | -7614.6909 | 414.8609 | 414.8609 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.2 |
| | - Pytorch 2.2.2+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| | |
