Downloads · 30 days
18
21% of all-time downloads
OpenELM-1_1B-CPO
CharlesLi/OpenELM-1_1B-CPO
OpenELM-1_1B-CPO 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. --
All-time downloads
87
Public
Parameters
1.1B
6.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors2.2 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- openelm
- Access
- Public
- Created
- Sep 17, 2024
- Updated
- Sep 20, 2024
- SHA
- 8e8e7ca0
Try a prompt
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-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
- Task
- Text Generation
- Library
- transformers
- Type
- openelm
- Created
- Sep 17, 2024
- Updated
- Sep 20, 2024