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--- |
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library_name: transformers |
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tags: |
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- trl |
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- dpo |
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- alignment-handbook |
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- generated_from_trainer |
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model-index: |
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- name: OpenELM-1_1B-DPO-full-least-similar |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# OpenELM-1_1B-DPO-full-least-similar |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0828 |
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- Rewards/chosen: -3.9844 |
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- Rewards/rejected: -4.25 |
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- Rewards/accuracies: 0.5 |
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- Rewards/margins: 0.25 |
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- Logps/rejected: -712.0 |
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- Logps/chosen: -716.0 |
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- Logits/rejected: -7.0 |
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- Logits/chosen: -7.875 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.1874 | 0.1047 | 100 | 0.6751 | -0.4551 | -0.5703 | 0.5430 | 0.1152 | -346.0 | -364.0 | -14.4375 | -14.5625 | |
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| 0.1191 | 0.2094 | 200 | 0.7004 | -0.7305 | -0.8242 | 0.5215 | 0.0962 | -372.0 | -392.0 | -12.4375 | -12.625 | |
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| 0.1411 | 0.3141 | 300 | 0.7418 | -0.9688 | -1.0547 | 0.4766 | 0.0894 | -394.0 | -416.0 | -12.25 | -12.625 | |
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| 0.1554 | 0.4188 | 400 | 0.7757 | -1.8906 | -1.9609 | 0.4941 | 0.0688 | -484.0 | -508.0 | -12.0625 | -12.4375 | |
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| 0.1334 | 0.5236 | 500 | 0.8440 | -1.8906 | -1.9297 | 0.4805 | 0.0405 | -482.0 | -508.0 | -14.75 | -15.0625 | |
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| 0.1429 | 0.6283 | 600 | 0.8180 | -1.6406 | -1.6875 | 0.5078 | 0.0515 | -458.0 | -482.0 | -14.625 | -14.875 | |
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| 0.1228 | 0.7330 | 700 | 0.8036 | -1.5625 | -1.7266 | 0.5 | 0.1611 | -460.0 | -474.0 | -14.0625 | -14.4375 | |
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| 0.1182 | 0.8377 | 800 | 0.8425 | -1.8438 | -1.9141 | 0.5078 | 0.0664 | -480.0 | -504.0 | -14.875 | -15.125 | |
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| 0.1471 | 0.9424 | 900 | 0.8238 | -2.4219 | -2.5312 | 0.5039 | 0.0991 | -540.0 | -560.0 | -13.625 | -13.9375 | |
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| 0.0251 | 1.0471 | 1000 | 0.8727 | -2.2969 | -2.4219 | 0.4805 | 0.1289 | -532.0 | -548.0 | -14.0 | -14.25 | |
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| 0.033 | 1.1518 | 1100 | 0.8287 | -2.0625 | -2.1094 | 0.5078 | 0.0503 | -500.0 | -524.0 | -13.75 | -14.125 | |
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| 0.0204 | 1.2565 | 1200 | 0.8519 | -2.3281 | -2.4688 | 0.5312 | 0.1377 | -536.0 | -552.0 | -11.125 | -11.9375 | |
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| 0.0168 | 1.3613 | 1300 | 0.8707 | -2.8906 | -3.0625 | 0.5098 | 0.1748 | -596.0 | -608.0 | -8.9375 | -9.8125 | |
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| 0.0183 | 1.4660 | 1400 | 0.9055 | -2.625 | -2.7344 | 0.5 | 0.1172 | -564.0 | -580.0 | -11.5625 | -12.125 | |
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| 0.0258 | 1.5707 | 1500 | 0.8797 | -2.3906 | -2.4531 | 0.5098 | 0.0630 | -536.0 | -556.0 | -12.1875 | -12.625 | |
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| 0.0168 | 1.6754 | 1600 | 0.9114 | -2.9844 | -3.125 | 0.5059 | 0.1338 | -600.0 | -616.0 | -10.4375 | -11.0 | |
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| 0.0313 | 1.7801 | 1700 | 0.9136 | -2.6562 | -2.7344 | 0.5020 | 0.0781 | -564.0 | -584.0 | -8.5625 | -9.25 | |
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| 0.0207 | 1.8848 | 1800 | 0.9314 | -3.0781 | -3.2188 | 0.5059 | 0.1289 | -612.0 | -628.0 | -8.6875 | -9.5 | |
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| 0.0155 | 1.9895 | 1900 | 0.9222 | -3.2344 | -3.375 | 0.5059 | 0.1416 | -628.0 | -640.0 | -5.75 | -6.6562 | |
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| 0.0013 | 2.0942 | 2000 | 0.9954 | -3.4844 | -3.6719 | 0.5020 | 0.1885 | -656.0 | -668.0 | -6.625 | -7.5312 | |
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| 0.0018 | 2.1990 | 2100 | 1.0399 | -3.6562 | -3.875 | 0.4980 | 0.2119 | -676.0 | -684.0 | -6.75 | -7.5938 | |
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| 0.0012 | 2.3037 | 2200 | 1.0474 | -3.8125 | -4.0312 | 0.5 | 0.2363 | -692.0 | -700.0 | -7.25 | -8.0625 | |
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| 0.0012 | 2.4084 | 2300 | 1.0703 | -3.9531 | -4.1875 | 0.4922 | 0.2451 | -708.0 | -712.0 | -7.125 | -7.9688 | |
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| 0.0014 | 2.5131 | 2400 | 1.0872 | -4.0312 | -4.3125 | 0.4980 | 0.2598 | -720.0 | -724.0 | -7.125 | -8.0 | |
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| 0.0013 | 2.6178 | 2500 | 1.0783 | -3.9688 | -4.2188 | 0.5020 | 0.2490 | -712.0 | -716.0 | -6.9375 | -7.8125 | |
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| 0.001 | 2.7225 | 2600 | 1.0849 | -4.0 | -4.25 | 0.5020 | 0.2520 | -712.0 | -720.0 | -6.9688 | -7.8438 | |
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| 0.0008 | 2.8272 | 2700 | 1.0824 | -3.9844 | -4.25 | 0.4980 | 0.2520 | -712.0 | -716.0 | -7.0 | -7.875 | |
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| 0.0007 | 2.9319 | 2800 | 1.0828 | -3.9844 | -4.25 | 0.5 | 0.25 | -712.0 | -716.0 | -7.0 | -7.875 | |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.3.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
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