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---
license: apache-2.0
library_name: peft
tags:
- trl
- orpo
- generated_from_trainer
base_model: cognitivecomputations/dolphin-2.1-mistral-7b
model-index:
- name: doplhin-2.1-mistral-7b-orpo-ultrafeedback-binarized-preferences
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. -->
# doplhin-2.1-mistral-7b-orpo-ultrafeedback-binarized-preferences
This model is a fine-tuned version of [cognitivecomputations/dolphin-2.1-mistral-7b](https://huggingface.co/cognitivecomputations/dolphin-2.1-mistral-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8506
- Rewards/chosen: -0.0852
- Rewards/rejected: -0.1166
- Rewards/accuracies: 0.6457
- Rewards/margins: 0.0314
- Logps/rejected: -1.1665
- Logps/chosen: -0.8525
- Logits/rejected: -2.6517
- Logits/chosen: -2.7250
- Nll Loss: 0.7896
- Log Odds Ratio: -0.6110
- Log Odds Chosen: 0.4581
## 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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 0.9101 | 0.25 | 700 | 0.8845 | -0.0869 | -0.1106 | 0.6428 | 0.0237 | -1.1059 | -0.8694 | -2.6631 | -2.7431 | 0.8224 | -0.6225 | 0.3631 |
| 0.8554 | 0.51 | 1400 | 0.8609 | -0.0877 | -0.1233 | 0.6555 | 0.0357 | -1.2332 | -0.8766 | -2.6169 | -2.6996 | 0.8007 | -0.6040 | 0.5048 |
| 0.9011 | 0.76 | 2100 | 0.8506 | -0.0852 | -0.1166 | 0.6457 | 0.0314 | -1.1665 | -0.8525 | -2.6517 | -2.7250 | 0.7896 | -0.6110 | 0.4581 |
### Framework versions
- PEFT 0.10.1.dev0
- Transformers 4.40.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.18.1.dev0
- Tokenizers 0.15.2 |