metadata
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- Syed-Hasan-8503/orpo-40k-train-test
model-index:
- name: outputs
results: []
outputs
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the Syed-Hasan-8503/orpo-40k-train-test dataset. It achieves the following results on the evaluation set:
- Loss: 0.9751
- Rewards/chosen: -3.4539
- Rewards/rejected: -5.6604
- Rewards/accuracies: 0.7613
- Rewards/margins: 2.2065
- Logps/rejected: -2.2642
- Logps/chosen: -1.3816
- Logits/rejected: -1.3683
- Logits/chosen: -1.2117
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: 3
- gradient_accumulation_steps: 2
- total_train_batch_size: 12
- total_eval_batch_size: 12
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.645 | 0.0140 | 50 | 1.2563 | -2.7945 | -3.7325 | 0.7027 | 0.9380 | -1.4930 | -1.1178 | -1.3468 | -1.1841 |
| 0.8722 | 0.0280 | 100 | 1.0619 | -3.0769 | -4.7343 | 0.7320 | 1.6574 | -1.8937 | -1.2308 | -1.3817 | -1.2196 |
| 1.0404 | 0.0419 | 150 | 0.9883 | -3.4545 | -5.6160 | 0.7545 | 2.1615 | -2.2464 | -1.3818 | -1.3639 | -1.2082 |
| 1.4672 | 0.0559 | 200 | 0.9751 | -3.4539 | -5.6604 | 0.7613 | 2.2065 | -2.2642 | -1.3816 | -1.3683 | -1.2117 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.2.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1