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---
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- alignment-handbook
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full-prometheus_consistent-3
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_consistent-3
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: 0.5201
- Rewards/chosen: -0.8222
- Rewards/rejected: -1.7957
- Rewards/accuracies: 0.7759
- Rewards/margins: 0.9734
- Logps/rejected: -398.6412
- Logps/chosen: -357.8258
- Logits/rejected: 1.5724
- Logits/chosen: -0.0130
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5995 | 0.2286 | 100 | 0.5960 | -0.3095 | -0.7496 | 0.7155 | 0.4400 | -294.0323 | -306.5585 | -2.3479 | -2.4655 |
| 0.5431 | 0.4571 | 200 | 0.5326 | -0.6273 | -1.5233 | 0.7629 | 0.8960 | -371.4070 | -338.3311 | -0.0959 | -1.0624 |
| 0.5138 | 0.6857 | 300 | 0.5242 | -0.5729 | -1.4989 | 0.7629 | 0.9260 | -368.9617 | -332.8911 | 0.6740 | -0.7677 |
| 0.5493 | 0.9143 | 400 | 0.5201 | -0.8222 | -1.7957 | 0.7759 | 0.9734 | -398.6412 | -357.8258 | 1.5724 | -0.0130 |
### Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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