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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: zephyr-7b-dpo-full-ultrabin-low-margin-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-ultrabin-low-margin-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 HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6812
- Rewards/chosen: -1.9326
- Rewards/rejected: -2.2832
- Rewards/accuracies: 0.6797
- Rewards/margins: 0.3506
- Logps/rejected: -490.9798
- Logps/chosen: -455.8898
- Logits/rejected: -0.1744
- Logits/chosen: -0.3072
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6871 | 0.3484 | 50 | 0.6798 | -0.0015 | -0.0300 | 0.5977 | 0.0285 | -265.6574 | -262.7750 | -2.5993 | -2.6328 |
| 0.6724 | 0.6969 | 100 | 0.6721 | -0.0365 | -0.0949 | 0.5938 | 0.0584 | -272.1548 | -266.2806 | -2.4994 | -2.5340 |
| 0.6047 | 1.0453 | 150 | 0.6797 | -0.1660 | -0.2332 | 0.5898 | 0.0673 | -285.9855 | -279.2270 | -2.5025 | -2.5443 |
| 0.5265 | 1.3937 | 200 | 0.6762 | -0.5743 | -0.7331 | 0.6719 | 0.1588 | -335.9708 | -320.0576 | -2.2718 | -2.3328 |
| 0.4984 | 1.7422 | 250 | 0.6732 | -1.2121 | -1.4445 | 0.6562 | 0.2325 | -407.1154 | -383.8381 | -1.4451 | -1.5433 |
| 0.3569 | 2.0906 | 300 | 0.6527 | -1.3455 | -1.6681 | 0.6758 | 0.3226 | -429.4680 | -397.1805 | -0.8708 | -0.9999 |
| 0.3329 | 2.4390 | 350 | 0.6840 | -1.9045 | -2.2570 | 0.6602 | 0.3525 | -488.3670 | -453.0816 | -0.1084 | -0.2447 |
| 0.3368 | 2.7875 | 400 | 0.6813 | -1.9317 | -2.2848 | 0.6797 | 0.3531 | -491.1398 | -455.8003 | -0.1808 | -0.3104 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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