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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-high-bleu-3-epochs
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-high-bleu-3-epochs
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: 0.7540
- Rewards/chosen: -3.8924
- Rewards/rejected: -4.8360
- Rewards/accuracies: 0.6810
- Rewards/margins: 0.9436
- Logps/rejected: -731.8801
- Logps/chosen: -649.2000
- Logits/rejected: 1.8046
- Logits/chosen: 1.3830
## 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: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6701 | 0.3802 | 50 | 0.6608 | -0.0605 | -0.1235 | 0.6379 | 0.0630 | -260.6238 | -266.0125 | -2.5430 | -2.5790 |
| 0.6369 | 0.7605 | 100 | 0.6256 | -0.4573 | -0.6699 | 0.6379 | 0.2125 | -315.2623 | -305.6931 | -2.2506 | -2.3145 |
| 0.4762 | 1.1407 | 150 | 0.6095 | -1.0277 | -1.3947 | 0.6638 | 0.3669 | -387.7436 | -362.7340 | -2.0713 | -2.1464 |
| 0.4416 | 1.5209 | 200 | 0.6303 | -1.5256 | -2.0301 | 0.6897 | 0.5044 | -451.2823 | -412.5244 | -1.8055 | -1.8831 |
| 0.4058 | 1.9011 | 250 | 0.6470 | -2.1413 | -2.7297 | 0.6724 | 0.5884 | -521.2467 | -474.0945 | -0.8046 | -0.9765 |
| 0.2288 | 2.2814 | 300 | 0.7265 | -3.4237 | -4.3014 | 0.6724 | 0.8777 | -678.4208 | -602.3348 | 1.1516 | 0.7332 |
| 0.21 | 2.6616 | 350 | 0.7540 | -3.8924 | -4.8360 | 0.6810 | 0.9436 | -731.8801 | -649.2000 | 1.8046 | 1.3830 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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