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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- alignment-handbook
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full-magpi-reward-scale-1
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-dpo-full-magpi-reward-scale-1
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0010
- Rewards/chosen: -2.2051
- Rewards/rejected: -74.7846
- Rewards/accuracies: 1.0
- Rewards/margins: 72.5795
- Logps/rejected: -8119.2456
- Logps/chosen: -587.4921
- Logits/rejected: 2.7746
- Logits/chosen: -0.3615
## 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: 55
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.0135 | 0.1420 | 50 | 0.0099 | -1.3212 | -47.4111 | 0.9960 | 46.0899 | -5381.9028 | -499.1044 | -2.4386 | -2.9291 |
| 0.0109 | 0.2841 | 100 | 0.0025 | -2.5970 | -80.9884 | 1.0 | 78.3913 | -8739.6260 | -626.6862 | -0.0340 | -2.5428 |
| 0.0017 | 0.4261 | 150 | 0.0011 | -1.9943 | -77.1591 | 1.0 | 75.1648 | -8356.6973 | -566.4090 | 2.8304 | -1.6476 |
| 0.002 | 0.5682 | 200 | 0.0008 | -2.1292 | -82.8472 | 1.0 | 80.7180 | -8925.5107 | -579.9021 | 2.8840 | -1.3436 |
| 0.0018 | 0.7102 | 250 | 0.0009 | -2.1417 | -72.3491 | 1.0 | 70.2074 | -7875.6992 | -581.1540 | 2.5447 | -1.1532 |
| 0.0013 | 0.8523 | 300 | 0.0010 | -2.2050 | -73.9724 | 1.0 | 71.7674 | -8038.0322 | -587.4813 | 2.7313 | -0.4348 |
| 0.0058 | 0.9943 | 350 | 0.0010 | -2.2051 | -74.7846 | 1.0 | 72.5795 | -8119.2456 | -587.4921 | 2.7746 | -0.3615 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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