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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-prometheus-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-prometheus-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: 0.5286
- Rewards/chosen: -1.4143
- Rewards/rejected: -2.7417
- Rewards/accuracies: 0.7629
- Rewards/margins: 1.3275
- Logps/rejected: -493.2510
- Logps/chosen: -417.0316
- Logits/rejected: 1.9856
- Logits/chosen: 0.4911
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6696 | 0.1143 | 50 | 0.6584 | -0.0084 | -0.1643 | 0.6853 | 0.1559 | -235.5072 | -276.4426 | -2.4382 | -2.5406 |
| 0.6122 | 0.2286 | 100 | 0.6111 | -0.4070 | -0.8953 | 0.6767 | 0.4883 | -308.6058 | -316.3019 | -2.5533 | -2.6512 |
| 0.5476 | 0.3429 | 150 | 0.5583 | -1.3343 | -2.3426 | 0.7371 | 1.0083 | -453.3369 | -409.0355 | 0.9770 | 0.1441 |
| 0.5582 | 0.4571 | 200 | 0.5499 | -1.0345 | -2.1424 | 0.7328 | 1.1079 | -433.3173 | -379.0511 | 0.5624 | -0.4976 |
| 0.5503 | 0.5714 | 250 | 0.5393 | -1.1701 | -2.3108 | 0.7371 | 1.1406 | -450.1522 | -392.6152 | 0.7719 | -0.3725 |
| 0.5224 | 0.6857 | 300 | 0.5312 | -1.2228 | -2.5102 | 0.7543 | 1.2874 | -470.0949 | -397.8840 | 1.7088 | 0.1892 |
| 0.5396 | 0.8 | 350 | 0.5290 | -1.4462 | -2.7485 | 0.75 | 1.3024 | -493.9275 | -420.2202 | 1.9215 | 0.4365 |
| 0.55 | 0.9143 | 400 | 0.5286 | -1.4143 | -2.7417 | 0.7629 | 1.3275 | -493.2510 | -417.0316 | 1.9856 | 0.4911 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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