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---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- alignment-handbook
- trl
- orpo
- generated_from_trainer
- trl
- orpo
- generated_from_trainer
datasets:
- argilla/dpo-mix-7k
model-index:
- name: mistral-7b-orpo-alignment-handbook
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-orpo-alignment-handbook
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the argilla/dpo-mix-7k dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8562
- Rewards/chosen: -0.0394
- Rewards/rejected: -0.0485
- Rewards/accuracies: 0.6615
- Rewards/margins: 0.0091
- Logps/rejected: -0.9709
- Logps/chosen: -0.7882
- Logits/rejected: -2.9442
- Logits/chosen: -2.9335
- Nll Loss: 0.8317
- Log Odds Ratio: -0.6241
- Log Odds Chosen: 0.3600
## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
### 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:|
| 0.9081 | 0.95 | 100 | 0.8756 | -0.0406 | -0.0483 | 0.625 | 0.0077 | -0.9657 | -0.8116 | -3.0351 | -3.0266 | 0.8517 | -0.6438 | 0.3078 |
| 0.8743 | 1.9 | 200 | 0.8544 | -0.0391 | -0.0474 | 0.6458 | 0.0083 | -0.9474 | -0.7823 | -2.9519 | -2.9423 | 0.8308 | -0.6319 | 0.3327 |
| 0.7952 | 2.84 | 300 | 0.8562 | -0.0394 | -0.0485 | 0.6615 | 0.0091 | -0.9709 | -0.7880 | -2.9507 | -2.9399 | 0.8317 | -0.6238 | 0.3606 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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