metadata
license: other
base_model: deepseek-ai/deepseek-math-7b-base
tags:
- alignment-handbook
- trl
- orpo
- generated_from_trainer
- trl
- orpo
- generated_from_trainer
datasets:
- zfz1/my_preference_gsm8k_deepseek
model-index:
- name: deepseek-8b-orpo-full
results: []
deepseek-8b-orpo-full
This model is a fine-tuned version of deepseek-ai/deepseek-math-7b-base on the zfz1/my_preference_gsm8k_deepseek dataset. It achieves the following results on the evaluation set:
- Loss: 0.0797
- Rewards/chosen: -0.0089
- Rewards/rejected: -0.2196
- Rewards/accuracies: 1.0
- Rewards/margins: 0.2107
- Logps/rejected: -2.1960
- Logps/chosen: -0.0885
- Logits/rejected: 13.8906
- Logits/chosen: 8.5947
- Nll Loss: 0.0786
- Log Odds Ratio: -0.0204
- Log Odds Chosen: 5.3533
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 43
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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: 2
Training results
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1