alfworld_workflow_preference_dpo_1.0
This model is a fine-tuned version of LLaMA-Factory/saves/llama3.1-8b/alfworld_workflow on the alfworld_workflow_preference_1 dataset. It achieves the following results on the evaluation set:
- Loss: 0.8390
- Rewards/chosen: -0.5836
- Rewards/rejected: -1.2646
- Rewards/accuracies: 0.6318
- Rewards/margins: 0.6810
- Logps/chosen: -12.9009
- Logps/rejected: -19.8890
- Logits/chosen: -0.3349
- Logits/rejected: -0.3405
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-05
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 4
- optimizer: Use 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: 0.03
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.46.1
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3