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OpenELM-1_1B-SimPO
CharlesLi/OpenELM-1_1B-SimPO
OpenELM-1_1B-SimPO is a text generation model from CharlesLi. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- openelm
- Access
- Public
- Created
- Sep 17, 2024
- Updated
- Sep 20, 2024
- SHA
- a51a83d5
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Model card
From the Hugging Face model README
<!-- 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-SimPO
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Logits/chosen: -0.5781
- Logits/rejected: 1.2422
- Logps/chosen: -113.0
- Logps/rejected: -171.0
- Loss: 0.8496
- Nll Loss: 0.0
- Rewards/accuracies: 0.6680
- Rewards/chosen: -1.1328
- Rewards/margins: 0.5742
- Rewards/rejected: -1.7031
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.9346 | 0.1047 | 100 | -8.5625 | -7.9688 | -33.25 | -41.75 | 0.9349 | 0.0 | 0.6133 | -0.3320 | 0.0864 | -0.4180 |
| 0.9139 | 0.2093 | 200 | -3.4531 | -2.4375 | -48.5 | -63.5 | 0.9069 | 0.0 | 0.6270 | -0.4844 | 0.1504 | -0.6367 |
| 0.907 | 0.3140 | 300 | -5.1875 | -4.0 | -69.5 | -83.5 | 0.9099 | 0.0 | 0.6055 | -0.6914 | 0.1416 | -0.8359 |
| 0.901 | 0.4186 | 400 | -1.7422 | 0.0164 | -84.0 | -101.0 | 0.8957 | 0.0 | 0.6328 | -0.8359 | 0.1748 | -1.0156 |
| 0.8752 | 0.5233 | 500 | -0.5625 | 0.8555 | -72.5 | -95.5 | 0.8768 | 0.0 | 0.6582 | -0.7266 | 0.2324 | -0.9570 |
| 0.8808 | 0.6279 | 600 | 2.1562 | 3.2344 | -86.0 | -109.5 | 0.8742 | 0.0 | 0.6445 | -0.8633 | 0.2334 | -1.0938 |
| 0.8277 | 0.7326 | 700 | -0.7930 | 0.3496 | -52.0 | -77.5 | 0.8679 | 0.0 | 0.6445 | -0.5195 | 0.2520 | -0.7734 |
| 0.8341 | 0.8373 | 800 | 0.2188 | 1.3047 | -80.5 | -108.5 | 0.8503 | 0.0 | 0.6602 | -0.8047 | 0.2773 | -1.0859 |
| 0.8333 | 0.9419 | 900 | 0.6406 | 1.8438 | -90.0 | -121.5 | 0.8454 | 0.0 | 0.6660 | -0.8984 | 0.3184 | -1.2188 |
| 0.8071 | 1.0466 | 1000 | 0.1504 | 1.3516 | -100.0 | -133.0 | 0.8441 | 0.0 | 0.6699 | -1.0 | 0.3340 | -1.3359 |
| 0.7845 | 1.1512 | 1100 | -1.5078 | 0.3301 | -84.5 | -122.5 | 0.8307 | 0.0 | 0.6660 | -0.8477 | 0.3809 | -1.2266 |
| 0.7483 | 1.2559 | 1200 | -0.4160 | 0.9805 | -94.5 | -133.0 | 0.8353 | 0.0 | 0.6758 | -0.9453 | 0.3809 | -1.3281 |
| 0.7802 | 1.3605 | 1300 | -1.5859 | 0.3418 | -62.0 | -100.5 | 0.8363 | 0.0 | 0.7051 | -0.6211 | 0.3828 | -1.0 |
| 0.7499 | 1.4652 | 1400 | -0.1719 | 1.4531 | -97.0 | -141.0 | 0.8228 | 0.0 | 0.7012 | -0.9727 | 0.4414 | -1.4141 |
| 0.6966 | 1.5699 | 1500 | -0.3301 | 1.5 | -106.0 | -152.0 | 0.8231 | 0.0 | 0.6836 | -1.0625 | 0.4609 | -1.5234 |
| 0.6921 | 1.6745 | 1600 | 0.6133 | 2.25 | -107.0 | -155.0 | 0.8222 | 0.0 | 0.6875 | -1.0703 | 0.4766 | -1.5469 |
| 0.7162 | 1.7792 | 1700 | 0.6992 | 2.4688 | -103.0 | -154.0 | 0.8106 | 0.0 | 0.6953 | -1.0312 | 0.5078 | -1.5391 |
| 0.714 | 1.8838 | 1800 | 0.0579 | 2.1875 | -109.5 | -162.0 | 0.8183 | 0.0 | 0.6855 | -1.0938 | 0.5312 | -1.625 |
| 0.7068 | 1.9885 | 1900 | 0.3184 | 1.9922 | -97.5 | -151.0 | 0.8164 | 0.0 | 0.7031 | -0.9727 | 0.5352 | -1.5078 |
| 0.4781 | 2.0931 | 2000 | 0.0977 | 1.7344 | -119.0 | -171.0 | 0.8475 | 0.0 | 0.6797 | -1.1875 | 0.5273 | -1.7109 |
| 0.4964 | 2.1978 | 2100 | -0.9258 | 0.9219 | -100.0 | -155.0 | 0.8455 | 0.0 | 0.6875 | -1.0 | 0.5547 | -1.5547 |
| 0.4723 | 2.3025 | 2200 | -0.4648 | 1.2969 | -110.0 | -166.0 | 0.8475 | 0.0 | 0.6934 | -1.1016 | 0.5586 | -1.6562 |
| 0.5051 | 2.4071 | 2300 | -0.2891 | 1.4141 | -113.0 | -170.0 | 0.8480 | 0.0 | 0.6895 | -1.1328 | 0.5664 | -1.6953 |
| 0.4647 | 2.5118 | 2400 | -0.3496 | 1.4531 | -114.0 | -171.0 | 0.8463 | 0.0 | 0.6758 | -1.1406 | 0.5742 | -1.7188 |
| 0.4442 | 2.6164 | 2500 | -0.1436 | 1.5859 | -123.5 | -180.0 | 0.8527 | 0.0 | 0.6680 | -1.2344 | 0.5664 | -1.7969 |
| 0.4349 | 2.7211 | 2600 | -0.5898 | 1.2422 | -112.0 | -169.0 | 0.8505 | 0.0 | 0.6699 | -1.1172 | 0.5742 | -1.6953 |
| 0.4514 | 2.8257 | 2700 | -0.6406 | 1.1953 | -112.0 | -169.0 | 0.8493 | 0.0 | 0.6738 | -1.1172 | 0.5781 | -1.6953 |
| 0.459 | 2.9304 | 2800 | -0.5781 | 1.2422 | -113.0 | -171.0 | 0.8496 | 0.0 | 0.6680 | -1.1328 | 0.5742 | -1.7031 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.0
- Datasets 3.0.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- openelm
- Created
- Sep 17, 2024
- Updated
- Sep 20, 2024