# orpo-llama-3b-iter-2-bird-planner-no-filter-seed106

This model is a fine-tuned version of [./output/reproduce/orpo-llama-3b-bird-planner-no-filter-seed100/](https://huggingface.co/./output/reproduce/orpo-llama-3b-bird-planner-no-filter-seed100/) on the ../data/llm_alignment/bird-p2-planner-seed106/dpo-llama-3-end2end-bird_train_planner dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2745
- Rewards/chosen: -0.1037
- Rewards/rejected: -7.1776
- Rewards/accuracies: 0.9400
- Rewards/margins: 7.0738
- Logps/rejected: -7.1776
- Logps/chosen: -0.1037
- Logits/rejected: -0.2937
- Logits/chosen: -0.2329
- Nll Loss: 0.1037
- Log Odds Ratio: -0.1496
- Log Odds Chosen: 9.0892

## 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-06
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.45.0
- Pytorch 2.2.2
- Datasets 2.14.6
- Tokenizers 0.20.3