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---
license: apache-2.0
library_name: peft
tags:
- trl-dpo
- generated_from_trainer
base_model: mistralai/Mistral-7B-v0.1
model-index:
- name: zephyr-7b-ipo-lora
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. -->
# zephyr-7b-ipo-lora
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 18.0888
- Rewards/chosen: 0.0201
- Rewards/rejected: -0.1194
- Rewards/accuracies: 0.7320
- Rewards/margins: 0.1395
- Logps/rejected: -212.8609
- Logps/chosen: -268.5415
- Logits/rejected: -2.3003
- Logits/chosen: -2.6873
## 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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 19.1303 | 1.0 | 242 | 18.9124 | 0.0302 | -0.0939 | 0.7360 | 0.1241 | -212.6061 | -268.4410 | -2.3029 | -2.6884 |
| 19.0824 | 2.0 | 484 | 18.2266 | 0.0186 | -0.1163 | 0.7600 | 0.1349 | -212.8297 | -268.5567 | -2.3011 | -2.6877 |
| 18.0366 | 3.0 | 726 | 18.0888 | 0.0201 | -0.1194 | 0.7320 | 0.1395 | -212.8609 | -268.5415 | -2.3003 | -2.6873 |
### Framework versions
- Transformers 4.36.1
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.0
## Training procedure
### Framework versions
- PEFT 0.6.1
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