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---
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- llama-factory
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.3
model-index:
- name: Mistral-7B-Instruct-v0.3-ORPO
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Mistral-7B-Instruct-v0.3-ORPO
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8734
- Rewards/chosen: -0.0810
- Rewards/rejected: -0.1017
- Rewards/accuracies: 0.5720
- Rewards/margins: 0.0208
- Logps/rejected: -1.0175
- Logps/chosen: -0.8098
- Logits/rejected: -3.1455
- Logits/chosen: -3.1171
- Sft Loss: 0.8098
- Odds Ratio Loss: 0.6360
## 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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Sft Loss | Odds Ratio Loss |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:|
| 0.9464 | 0.8891 | 500 | 0.8919 | -0.0828 | -0.1031 | 0.5690 | 0.0202 | -1.0306 | -0.8281 | -3.1432 | -3.1149 | 0.8281 | 0.6374 |
| 0.8737 | 1.7782 | 1000 | 0.8774 | -0.0814 | -0.1019 | 0.5760 | 0.0205 | -1.0186 | -0.8136 | -3.1431 | -3.1139 | 0.8136 | 0.6371 |
| 0.8923 | 2.6673 | 1500 | 0.8734 | -0.0810 | -0.1017 | 0.5720 | 0.0208 | -1.0175 | -0.8098 | -3.1455 | -3.1171 | 0.8098 | 0.6360 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.3.0
- Datasets 2.19.0
- Tokenizers 0.19.1 |