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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full-gpt-reward-scale-01
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-gpt-reward-scale-01
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5383
- Rewards/chosen: -1.3950
- Rewards/rejected: -2.4464
- Rewards/accuracies: 0.7241
- Rewards/margins: 1.0514
- Logps/rejected: -490.2826
- Logps/chosen: -423.5039
- Logits/rejected: 1.2749
- Logits/chosen: -0.2527
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.674 | 0.1147 | 50 | 0.6644 | -0.0456 | -0.1442 | 0.6724 | 0.0986 | -260.0650 | -288.5642 | -2.5039 | -2.6023 |
| 0.5874 | 0.2294 | 100 | 0.5920 | -0.9820 | -1.5650 | 0.6810 | 0.5830 | -402.1482 | -382.2076 | 0.3008 | -0.2226 |
| 0.5612 | 0.3440 | 150 | 0.5695 | -1.4677 | -2.3665 | 0.6897 | 0.8989 | -482.2998 | -430.7732 | 2.3140 | 1.4310 |
| 0.5427 | 0.4587 | 200 | 0.5523 | -1.3469 | -2.2624 | 0.7241 | 0.9156 | -471.8922 | -418.6947 | 0.9223 | -0.3630 |
| 0.5474 | 0.5734 | 250 | 0.5430 | -1.0958 | -2.0370 | 0.6897 | 0.9412 | -449.3501 | -393.5861 | 0.9071 | -0.4403 |
| 0.5556 | 0.6881 | 300 | 0.5404 | -1.3959 | -2.3862 | 0.7198 | 0.9903 | -484.2666 | -423.5919 | 1.1950 | -0.1993 |
| 0.5373 | 0.8028 | 350 | 0.5416 | -1.5583 | -2.5998 | 0.7284 | 1.0414 | -505.6230 | -439.8387 | 1.7159 | 0.2396 |
| 0.5405 | 0.9174 | 400 | 0.5383 | -1.3950 | -2.4464 | 0.7241 | 1.0514 | -490.2826 | -423.5039 | 1.2749 | -0.2527 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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