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---
library_name: transformers
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full
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
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5225
- Rewards/chosen: -0.5814
- Rewards/rejected: -1.3885
- Rewards/accuracies: 0.7773
- Rewards/margins: 0.8071
- Logps/rejected: -403.6498
- Logps/chosen: -323.4799
- Logits/rejected: 1.6879
- Logits/chosen: 1.2050
## 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: 42
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5999 | 0.2092 | 100 | 0.5966 | -0.3739 | -0.7450 | 0.7109 | 0.3711 | -339.3055 | -302.7284 | -1.6763 | -1.7949 |
| 0.5606 | 0.4184 | 200 | 0.5555 | -0.6215 | -1.2285 | 0.7461 | 0.6069 | -387.6506 | -327.4932 | 1.5409 | 1.1102 |
| 0.5211 | 0.6276 | 300 | 0.5284 | -0.6372 | -1.3932 | 0.7617 | 0.7559 | -404.1211 | -329.0649 | 1.2079 | 0.7847 |
| 0.5189 | 0.8368 | 400 | 0.5225 | -0.5814 | -1.3885 | 0.7773 | 0.8071 | -403.6498 | -323.4799 | 1.6879 | 1.2050 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.1.0
- Datasets 3.0.1
- Tokenizers 0.20.1
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