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---
library_name: transformers
base_model: data/OpenELM-1_1B-SFT
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: OpenELM-1_1B-DPO
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. -->
# OpenELM-1_1B-DPO
This model is a fine-tuned version of [data/OpenELM-1_1B-SFT](https://huggingface.co/data/OpenELM-1_1B-SFT) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0009
- Rewards/chosen: -14.5625
- Rewards/rejected: -17.125
- Rewards/accuracies: 0.7188
- Rewards/margins: 2.6094
- Logps/rejected: -632.0
- Logps/chosen: -612.0
- Logits/rejected: -13.0
- Logits/chosen: -13.0
## 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-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7494 | 1.0 | 1911 | 0.7879 | -11.6875 | -12.8125 | 0.6797 | 1.1797 | -548.0 | -552.0 | -12.8125 | -12.5625 |
| 0.0999 | 2.0 | 3822 | 0.8019 | -14.125 | -15.9375 | 0.6992 | 1.8125 | -608.0 | -604.0 | -13.0625 | -13.0 |
| 0.011 | 3.0 | 5733 | 1.0009 | -14.5625 | -17.125 | 0.7188 | 2.6094 | -632.0 | -612.0 | -13.0 | -13.0 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.3.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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