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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_consistent-reward-scale-05
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_consistent-reward-scale-05
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: 0.4931
- Rewards/chosen: -1.6483
- Rewards/rejected: -2.9482
- Rewards/accuracies: 0.7414
- Rewards/margins: 1.2999
- Logps/rejected: -541.3424
- Logps/chosen: -449.9160
- Logits/rejected: 3.3584
- Logits/chosen: 2.0773
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6653 | 0.1147 | 50 | 0.6513 | -0.0038 | -0.1422 | 0.6940 | 0.1384 | -260.7392 | -285.4682 | -2.4923 | -2.5731 |
| 0.5699 | 0.2294 | 100 | 0.5578 | -0.8876 | -1.6121 | 0.6853 | 0.7245 | -407.7342 | -373.8545 | 0.8771 | 0.3393 |
| 0.5416 | 0.3440 | 150 | 0.5320 | -1.1447 | -2.1157 | 0.7026 | 0.9709 | -458.0881 | -399.5647 | 2.1978 | 1.2442 |
| 0.5318 | 0.4587 | 200 | 0.5122 | -1.1906 | -2.2306 | 0.7284 | 1.0400 | -469.5803 | -404.1460 | 2.4483 | 1.3448 |
| 0.5178 | 0.5734 | 250 | 0.5029 | -1.4402 | -2.5615 | 0.7284 | 1.1212 | -502.6709 | -429.1149 | 2.5336 | 1.3215 |
| 0.519 | 0.6881 | 300 | 0.4985 | -1.4880 | -2.6823 | 0.7371 | 1.1943 | -514.7540 | -433.8906 | 2.6886 | 1.3895 |
| 0.5137 | 0.8028 | 350 | 0.4931 | -1.6128 | -2.8601 | 0.7328 | 1.2473 | -532.5296 | -446.3658 | 3.1580 | 1.8716 |
| 0.5033 | 0.9174 | 400 | 0.4931 | -1.6483 | -2.9482 | 0.7414 | 1.2999 | -541.3424 | -449.9160 | 3.3584 | 2.0773 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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