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---
library_name: transformers
tags:
- trl
- dpo
- alignment-handbook
- generated_from_trainer
model-index:
- name: OpenELM-1_1B-DPO-full-least-similar
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-least-similar
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0148
- Rewards/chosen: -3.4375
- Rewards/rejected: -3.625
- Rewards/accuracies: 0.4844
- Rewards/margins: 0.1973
- Logps/rejected: -652.0
- Logps/chosen: -660.0
- Logits/rejected: -11.75
- Logits/chosen: -12.1875
## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.1861 | 0.1047 | 100 | 0.6770 | -0.4492 | -0.5586 | 0.5410 | 0.1079 | -344.0 | -364.0 | -14.625 | -14.6875 |
| 0.1137 | 0.2094 | 200 | 0.7199 | -0.8047 | -0.8945 | 0.5156 | 0.0869 | -378.0 | -398.0 | -11.5625 | -11.75 |
| 0.1386 | 0.3141 | 300 | 0.7895 | -1.8984 | -1.9609 | 0.4707 | 0.0583 | -484.0 | -508.0 | -14.4375 | -14.5625 |
| 0.1441 | 0.4188 | 400 | 0.7394 | -1.3359 | -1.3672 | 0.5156 | 0.0354 | -426.0 | -452.0 | -13.4375 | -13.875 |
| 0.1448 | 0.5236 | 500 | 0.8145 | -1.3906 | -1.4375 | 0.4902 | 0.0432 | -432.0 | -458.0 | -17.0 | -17.125 |
| 0.1399 | 0.6283 | 600 | 0.8182 | -2.1719 | -2.1875 | 0.4863 | 0.0214 | -508.0 | -536.0 | -8.125 | -9.125 |
| 0.1254 | 0.7330 | 700 | 0.8278 | -1.7422 | -1.8281 | 0.5039 | 0.0825 | -472.0 | -492.0 | -13.5 | -13.875 |
| 0.1165 | 0.8377 | 800 | 0.8810 | -1.7266 | -1.6953 | 0.4727 | -0.0306 | -458.0 | -492.0 | -14.125 | -14.375 |
| 0.1534 | 0.9424 | 900 | 0.8332 | -2.125 | -2.2031 | 0.4863 | 0.0776 | -510.0 | -532.0 | -11.75 | -12.375 |
| 0.0209 | 1.0471 | 1000 | 0.8379 | -2.0469 | -2.1406 | 0.4785 | 0.1011 | -504.0 | -524.0 | -14.1875 | -14.5625 |
| 0.0342 | 1.1518 | 1100 | 0.8447 | -2.4219 | -2.5469 | 0.5059 | 0.1318 | -544.0 | -560.0 | -14.625 | -15.0625 |
| 0.0166 | 1.2565 | 1200 | 0.8359 | -2.6562 | -2.75 | 0.5020 | 0.0996 | -564.0 | -584.0 | -12.8125 | -13.1875 |
| 0.0195 | 1.3613 | 1300 | 0.8762 | -2.5312 | -2.625 | 0.5039 | 0.0854 | -552.0 | -572.0 | -14.4375 | -14.75 |
| 0.0187 | 1.4660 | 1400 | 0.8860 | -2.4531 | -2.5156 | 0.5039 | 0.0684 | -540.0 | -564.0 | -15.125 | -15.25 |
| 0.0346 | 1.5707 | 1500 | 0.8857 | -2.7031 | -2.8125 | 0.5 | 0.1074 | -572.0 | -588.0 | -13.0625 | -13.4375 |
| 0.016 | 1.6754 | 1600 | 0.9007 | -2.9531 | -3.0312 | 0.4941 | 0.0728 | -592.0 | -612.0 | -12.25 | -12.625 |
| 0.0277 | 1.7801 | 1700 | 0.9100 | -2.8281 | -2.8906 | 0.4980 | 0.0571 | -576.0 | -600.0 | -12.875 | -13.125 |
| 0.0183 | 1.8848 | 1800 | 0.8937 | -2.9219 | -3.0156 | 0.4922 | 0.0991 | -592.0 | -612.0 | -11.4375 | -11.75 |
| 0.0098 | 1.9895 | 1900 | 0.8843 | -2.8125 | -2.9375 | 0.4844 | 0.1318 | -584.0 | -600.0 | -11.5 | -11.9375 |
| 0.0016 | 2.0942 | 2000 | 0.9360 | -2.9688 | -3.125 | 0.4941 | 0.1543 | -600.0 | -616.0 | -11.75 | -12.125 |
| 0.0015 | 2.1990 | 2100 | 0.9743 | -3.1875 | -3.3594 | 0.4824 | 0.1758 | -624.0 | -636.0 | -11.875 | -12.3125 |
| 0.0006 | 2.3037 | 2200 | 0.9987 | -3.3906 | -3.5781 | 0.4980 | 0.1953 | -648.0 | -656.0 | -11.75 | -12.125 |
| 0.0014 | 2.4084 | 2300 | 1.0158 | -3.4688 | -3.6719 | 0.4902 | 0.2031 | -656.0 | -664.0 | -11.75 | -12.1875 |
| 0.0019 | 2.5131 | 2400 | 1.0199 | -3.4844 | -3.6875 | 0.4863 | 0.2051 | -656.0 | -668.0 | -11.75 | -12.1875 |
| 0.001 | 2.6178 | 2500 | 1.0131 | -3.4531 | -3.6406 | 0.4902 | 0.1973 | -652.0 | -664.0 | -11.75 | -12.1875 |
| 0.0012 | 2.7225 | 2600 | 1.0130 | -3.4375 | -3.625 | 0.4941 | 0.1953 | -652.0 | -660.0 | -11.75 | -12.1875 |
| 0.0009 | 2.8272 | 2700 | 1.0145 | -3.4375 | -3.6406 | 0.4844 | 0.1973 | -652.0 | -660.0 | -11.8125 | -12.1875 |
| 0.0011 | 2.9319 | 2800 | 1.0148 | -3.4375 | -3.625 | 0.4844 | 0.1973 | -652.0 | -660.0 | -11.75 | -12.1875 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.3.0
- Datasets 3.0.0
- Tokenizers 0.19.1
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