metadata
library_name: transformers
tags:
- trl
- cpo
- alignment-handbook
- generated_from_trainer
model-index:
- name: OpenELM-1_1B-CPO
results: []
OpenELM-1_1B-CPO
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Logits/chosen: -8.875
- Logits/rejected: -7.5312
- Logps/chosen: -364.0
- Logps/rejected: -444.0
- Loss: 2.1904
- Nll Loss: 1.1719
- Rewards/accuracies: 0.5918
- Rewards/chosen: -3.6406
- Rewards/margins: 0.8008
- Rewards/rejected: -4.4375
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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Nll Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2.4271 | 0.1047 | 100 | -12.3125 | -12.125 | -336.0 | -328.0 | 2.2959 | 1.0859 | 0.4980 | -3.3594 | -0.0850 | -3.2812 |
| 2.2538 | 0.2093 | 200 | -9.875 | -9.5 | -338.0 | -346.0 | 2.1836 | 1.0938 | 0.5234 | -3.3906 | 0.0640 | -3.4531 |
| 2.1253 | 0.3140 | 300 | -11.4375 | -11.0 | -346.0 | -360.0 | 2.1307 | 1.1172 | 0.5176 | -3.4531 | 0.1416 | -3.5938 |
| 2.0609 | 0.4186 | 400 | -11.125 | -10.625 | -332.0 | -344.0 | 2.1359 | 1.0703 | 0.5293 | -3.3281 | 0.1187 | -3.4375 |
| 2.1905 | 0.5233 | 500 | -9.3125 | -8.5 | -338.0 | -352.0 | 2.1286 | 1.0859 | 0.5254 | -3.375 | 0.1357 | -3.5156 |
| 2.1304 | 0.6279 | 600 | -10.625 | -9.625 | -360.0 | -398.0 | 2.1410 | 1.1562 | 0.5723 | -3.6094 | 0.3672 | -3.9688 |
| 2.2554 | 0.7326 | 700 | -9.6875 | -8.5625 | -374.0 | -416.0 | 2.1848 | 1.2031 | 0.5664 | -3.7344 | 0.4258 | -4.1562 |
| 2.0796 | 0.8373 | 800 | -7.8438 | -7.0312 | -346.0 | -374.0 | 2.1224 | 1.1172 | 0.5469 | -3.4531 | 0.2852 | -3.75 |
| 2.1021 | 0.9419 | 900 | -6.2812 | -5.2812 | -350.0 | -390.0 | 2.1099 | 1.1328 | 0.5723 | -3.5 | 0.4062 | -3.9062 |
| 1.5182 | 1.0471 | 1000 | -10.625 | -9.375 | -350.0 | -386.0 | 2.1662 | 1.125 | 0.5664 | -3.5 | 0.3633 | -3.8594 |
| 1.4917 | 1.1518 | 1100 | -7.875 | -6.4688 | -356.0 | -400.0 | 2.1588 | 1.1484 | 0.5703 | -3.5625 | 0.4395 | -4.0 |
| 1.5219 | 1.2564 | 1200 | -7.7812 | -6.6562 | -364.0 | -420.0 | 2.1449 | 1.1719 | 0.5938 | -3.625 | 0.5586 | -4.1875 |
| 1.5292 | 1.3611 | 1300 | -8.875 | -7.75 | -354.0 | -402.0 | 2.1489 | 1.1406 | 0.5742 | -3.5312 | 0.4785 | -4.0 |
| 1.4257 | 1.4657 | 1400 | -9.25 | -7.7188 | -358.0 | -410.0 | 2.1193 | 1.1562 | 0.5801 | -3.5781 | 0.5156 | -4.0938 |
| 1.4366 | 1.5704 | 1500 | -8.9375 | -7.6875 | -358.0 | -416.0 | 2.0983 | 1.1562 | 0.5898 | -3.5938 | 0.5586 | -4.1562 |
| 1.5246 | 1.6750 | 1600 | -6.9062 | -5.4688 | -358.0 | -420.0 | 2.1191 | 1.1562 | 0.5938 | -3.5781 | 0.625 | -4.2188 |
| 1.4534 | 1.7797 | 1700 | -10.0625 | -9.0625 | -348.0 | -404.0 | 2.0829 | 1.1172 | 0.5762 | -3.4688 | 0.5625 | -4.0312 |
| 1.4551 | 1.8844 | 1800 | -8.1875 | -6.8438 | -356.0 | -416.0 | 2.1033 | 1.1484 | 0.5898 | -3.5625 | 0.6016 | -4.1562 |
| 1.4969 | 1.9890 | 1900 | -9.3125 | -8.125 | -354.0 | -412.0 | 2.1046 | 1.1406 | 0.5762 | -3.5312 | 0.5938 | -4.125 |
| 0.9984 | 2.0937 | 2000 | -9.1875 | -7.9375 | -364.0 | -428.0 | 2.1806 | 1.1719 | 0.5781 | -3.6406 | 0.6367 | -4.2812 |
| 0.9885 | 2.1983 | 2100 | -8.6875 | -7.4062 | -370.0 | -448.0 | 2.1927 | 1.1875 | 0.5801 | -3.6875 | 0.7930 | -4.5 |
| 0.9814 | 2.3030 | 2200 | -8.8125 | -7.5 | -362.0 | -436.0 | 2.1867 | 1.1719 | 0.5742 | -3.625 | 0.7266 | -4.3438 |
| 0.9844 | 2.4076 | 2300 | -8.375 | -7.125 | -368.0 | -452.0 | 2.1905 | 1.1875 | 0.5996 | -3.6875 | 0.8438 | -4.5312 |
| 0.9931 | 2.5123 | 2400 | -8.6875 | -7.375 | -364.0 | -442.0 | 2.1843 | 1.1719 | 0.5820 | -3.6406 | 0.7930 | -4.4375 |
| 0.9537 | 2.6170 | 2500 | -8.8125 | -7.5 | -364.0 | -446.0 | 2.1907 | 1.1719 | 0.5898 | -3.6406 | 0.8125 | -4.4688 |
| 0.9512 | 2.7216 | 2600 | -8.8125 | -7.5 | -364.0 | -446.0 | 2.1918 | 1.1719 | 0.5898 | -3.6406 | 0.8086 | -4.4375 |
| 0.9604 | 2.8263 | 2700 | -8.875 | -7.5312 | -364.0 | -442.0 | 2.1906 | 1.1719 | 0.5879 | -3.6406 | 0.7969 | -4.4375 |
| 1.0208 | 2.9309 | 2800 | -8.875 | -7.5312 | -364.0 | -444.0 | 2.1904 | 1.1719 | 0.5918 | -3.6406 | 0.8008 | -4.4375 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.0
- Datasets 3.0.0
- Tokenizers 0.19.1