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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-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-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: 0.5099
- Rewards/chosen: -2.9128
- Rewards/rejected: -4.2868
- Rewards/accuracies: 0.7328
- Rewards/margins: 1.3740
- Logps/rejected: -674.3233
- Logps/chosen: -575.2830
- Logits/rejected: 2.9146
- Logits/chosen: 0.8634
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6688 | 0.1147 | 50 | 0.6561 | -0.0264 | -0.1297 | 0.6767 | 0.1033 | -258.6208 | -286.6466 | -2.5069 | -2.6066 |
| 0.5822 | 0.2294 | 100 | 0.5813 | -0.9069 | -1.4729 | 0.6724 | 0.5660 | -392.9425 | -374.6986 | 0.4795 | -0.0936 |
| 0.5512 | 0.3440 | 150 | 0.5534 | -0.9841 | -1.8057 | 0.7284 | 0.8216 | -426.2166 | -382.4128 | 2.9841 | 1.9098 |
| 0.5364 | 0.4587 | 200 | 0.5368 | -1.4185 | -2.3616 | 0.7328 | 0.9430 | -481.8062 | -425.8600 | 3.8766 | 2.4303 |
| 0.5308 | 0.5734 | 250 | 0.5235 | -2.3552 | -3.5698 | 0.7284 | 1.2145 | -602.6266 | -519.5305 | 4.2409 | 2.4548 |
| 0.532 | 0.6881 | 300 | 0.5117 | -2.5133 | -3.7138 | 0.7198 | 1.2004 | -617.0262 | -535.3408 | 3.0154 | 1.1080 |
| 0.5064 | 0.8028 | 350 | 0.5117 | -2.6361 | -3.9100 | 0.7241 | 1.2739 | -636.6490 | -547.6198 | 2.6854 | 0.7127 |
| 0.5105 | 0.9174 | 400 | 0.5099 | -2.9128 | -4.2868 | 0.7328 | 1.3740 | -674.3233 | -575.2830 | 2.9146 | 0.8634 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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