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---
license: other
base_model: lewtun/gemma-7b-sft-full-ultrachat-v0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: gemma-7b-dpo-full-ultrafeedback-beta-0.01
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. -->
# gemma-7b-dpo-full-ultrafeedback-beta-0.01
This model is a fine-tuned version of [lewtun/gemma-7b-sft-full-ultrachat-v0](https://huggingface.co/lewtun/gemma-7b-sft-full-ultrachat-v0) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4698
- Rewards/chosen: -1.0027
- Rewards/rejected: -2.3339
- Rewards/accuracies: 0.7698
- Rewards/margins: 1.3312
- Logps/rejected: -1118.8601
- Logps/chosen: -1006.0907
- Logits/rejected: 90.6424
- Logits/chosen: 105.6680
## 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: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.552 | 0.21 | 100 | 0.5756 | -2.8657 | -3.5901 | 0.7460 | 0.7243 | -1244.4771 | -1192.3933 | 82.3244 | 96.5612 |
| 0.501 | 0.42 | 200 | 0.4914 | -1.6427 | -2.6660 | 0.7817 | 1.0233 | -1152.0745 | -1070.0895 | 91.1202 | 105.1467 |
| 0.4893 | 0.63 | 300 | 0.4810 | -1.6604 | -2.8398 | 0.7619 | 1.1794 | -1169.4480 | -1071.8550 | 87.4237 | 101.9799 |
| 0.4759 | 0.84 | 400 | 0.4718 | -0.8508 | -2.1538 | 0.7817 | 1.3030 | -1100.8470 | -990.8950 | 89.1600 | 104.0108 |
### Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1
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