---
license: apache-2.0
base_model: weijie210/mistral_gsm8k_sft
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mistral_gsm8k_dpo_0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral_gsm8k_dpo_0

This model is a fine-tuned version of [weijie210/mistral_gsm8k_sft](https://huggingface.co/weijie210/mistral_gsm8k_sft) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0108
- Rewards/chosen: -1.6999
- Rewards/rejected: -22.5187
- Rewards/accuracies: 0.9957
- Rewards/margins: 20.8188
- Logps/rejected: -238.0359
- Logps/chosen: -48.7549
- Logits/rejected: -2.6146
- Logits/chosen: -2.6687

## 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: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2

### Training results



### Framework versions

- Transformers 4.36.1
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0