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---
library_name: transformers
base_model: data/OpenELM-1_1B-SFT-1
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: OpenELM-1_1B-DPO-full-1
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-full-1
This model is a fine-tuned version of [data/OpenELM-1_1B-SFT-1](https://huggingface.co/data/OpenELM-1_1B-SFT-1) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8127
- Rewards/chosen: -7.4062
- Rewards/rejected: -9.625
- Rewards/accuracies: 0.7266
- Rewards/margins: 2.2188
- Logps/rejected: -1248.0
- Logps/chosen: -1056.0
- Logits/rejected: -1.5781
- Logits/chosen: -4.0
## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6194 | 0.1047 | 100 | 0.6171 | -0.875 | -1.1797 | 0.6758 | 0.3008 | -406.0 | -406.0 | -10.75 | -11.0 |
| 0.5947 | 0.2093 | 200 | 0.6038 | -1.4531 | -1.8359 | 0.6680 | 0.3848 | -472.0 | -464.0 | -11.3125 | -11.75 |
| 0.6583 | 0.3140 | 300 | 0.6007 | -2.2344 | -2.7344 | 0.6758 | 0.4941 | -560.0 | -544.0 | -13.1875 | -13.5 |
| 0.6003 | 0.4186 | 400 | 0.5892 | -1.8359 | -2.3906 | 0.7012 | 0.5586 | -528.0 | -502.0 | -9.75 | -10.3125 |
| 0.5701 | 0.5233 | 500 | 0.5772 | -1.9688 | -2.5 | 0.6875 | 0.5391 | -540.0 | -516.0 | -10.5 | -11.0 |
| 0.55 | 0.6279 | 600 | 0.5671 | -2.6875 | -3.4219 | 0.7129 | 0.7266 | -632.0 | -588.0 | -9.5625 | -10.4375 |
| 0.554 | 0.7326 | 700 | 0.5667 | -2.625 | -3.375 | 0.7285 | 0.75 | -628.0 | -580.0 | -9.25 | -10.0625 |
| 0.5478 | 0.8373 | 800 | 0.5699 | -2.7188 | -3.3906 | 0.7070 | 0.6602 | -628.0 | -592.0 | -8.9375 | -9.875 |
| 0.5759 | 0.9419 | 900 | 0.5660 | -2.75 | -3.4375 | 0.7090 | 0.6914 | -632.0 | -592.0 | -10.25 | -11.1875 |
| 0.2284 | 1.0466 | 1000 | 0.5897 | -3.375 | -4.5625 | 0.7305 | 1.1797 | -744.0 | -656.0 | -6.8125 | -8.8125 |
| 0.1919 | 1.1512 | 1100 | 0.5994 | -3.7656 | -4.9375 | 0.7266 | 1.1797 | -784.0 | -696.0 | -8.375 | -10.125 |
| 0.1942 | 1.2559 | 1200 | 0.6058 | -4.5 | -5.6562 | 0.7188 | 1.1719 | -856.0 | -768.0 | -3.5469 | -5.5 |
| 0.2071 | 1.3605 | 1300 | 0.5985 | -4.3125 | -5.4688 | 0.7441 | 1.1484 | -836.0 | -752.0 | -6.1875 | -7.7812 |
| 0.1811 | 1.4652 | 1400 | 0.6045 | -5.375 | -6.5625 | 0.7363 | 1.2109 | -948.0 | -856.0 | -6.6562 | -8.0 |
| 0.1715 | 1.5699 | 1500 | 0.6054 | -4.7188 | -6.0312 | 0.7383 | 1.3047 | -892.0 | -792.0 | -7.1875 | -8.6875 |
| 0.186 | 1.6745 | 1600 | 0.6277 | -4.4688 | -5.7188 | 0.7285 | 1.2344 | -860.0 | -768.0 | -8.3125 | -9.6875 |
| 0.1763 | 1.7792 | 1700 | 0.6386 | -5.2188 | -6.625 | 0.7246 | 1.4062 | -952.0 | -840.0 | -5.5312 | -7.4375 |
| 0.1678 | 1.8838 | 1800 | 0.6220 | -4.5625 | -5.8125 | 0.7246 | 1.2266 | -868.0 | -776.0 | -6.8125 | -8.4375 |
| 0.1563 | 1.9885 | 1900 | 0.6274 | -5.5 | -6.8438 | 0.7266 | 1.3672 | -976.0 | -868.0 | -6.3438 | -7.875 |
| 0.0144 | 2.0931 | 2000 | 0.7311 | -6.4375 | -8.1875 | 0.7305 | 1.7656 | -1112.0 | -960.0 | -3.3281 | -5.5 |
| 0.029 | 2.1978 | 2100 | 0.8195 | -7.5312 | -9.6875 | 0.7285 | 2.1719 | -1256.0 | -1072.0 | -2.375 | -4.75 |
| 0.0228 | 2.3025 | 2200 | 0.8282 | -7.6875 | -9.875 | 0.7188 | 2.2031 | -1280.0 | -1088.0 | -1.9297 | -4.375 |
| 0.0159 | 2.4071 | 2300 | 0.8055 | -7.2188 | -9.375 | 0.7266 | 2.1562 | -1224.0 | -1040.0 | -2.0625 | -4.4688 |
| 0.0192 | 2.5118 | 2400 | 0.7881 | -6.9688 | -9.0625 | 0.7207 | 2.0938 | -1200.0 | -1016.0 | -2.3906 | -4.7812 |
| 0.0158 | 2.6164 | 2500 | 0.8027 | -7.3438 | -9.5 | 0.7266 | 2.1562 | -1240.0 | -1056.0 | -1.5312 | -3.9375 |
| 0.0193 | 2.7211 | 2600 | 0.8205 | -7.625 | -9.875 | 0.7383 | 2.25 | -1280.0 | -1080.0 | -1.1797 | -3.5938 |
| 0.0229 | 2.8257 | 2700 | 0.8136 | -7.4375 | -9.625 | 0.7266 | 2.2188 | -1256.0 | -1064.0 | -1.5391 | -3.9531 |
| 0.0213 | 2.9304 | 2800 | 0.8121 | -7.4062 | -9.625 | 0.7285 | 2.2188 | -1248.0 | -1056.0 | -1.5781 | -4.0 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.3.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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