tinyllama-1.1b-sum-dpo-full_LR5e-7_3epochs
This model is a fine-tuned version of martimfasantos/tinyllama-1.1b-sum-sft-full on the openai/summarize_from_feedback dataset. It achieves the following results on the evaluation set:
- Loss: 0.7099
- Rewards/chosen: -2.8601
- Rewards/rejected: -3.4154
- Rewards/accuracies: 0.6320
- Rewards/margins: 0.5553
- Logps/rejected: -404.2897
- Logps/chosen: -345.0273
- Logits/rejected: -1.9822
- Logits/chosen: -2.0068
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-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.689 | 0.0689 | 400 | 0.6921 | 0.0010 | -0.0011 | 0.5616 | 0.0021 | -62.8638 | -58.9160 | -2.9633 | -2.9669 |
| 0.6822 | 0.1378 | 800 | 0.6861 | -0.0503 | -0.0663 | 0.5746 | 0.0160 | -69.3792 | -64.0464 | -2.9255 | -2.9291 |
| 0.6737 | 0.2068 | 1200 | 0.6780 | -0.2790 | -0.3169 | 0.5762 | 0.0379 | -94.4367 | -86.9165 | -2.8527 | -2.8562 |
| 0.6648 | 0.2757 | 1600 | 0.6677 | -0.4500 | -0.5183 | 0.6029 | 0.0683 | -114.5829 | -104.0142 | -2.7578 | -2.7612 |
| 0.6678 | 0.3446 | 2000 | 0.6576 | -0.7094 | -0.8175 | 0.6217 | 0.1081 | -144.4979 | -129.9582 | -2.6611 | -2.6651 |
| 0.6253 | 0.4135 | 2400 | 0.6468 | -1.0987 | -1.2558 | 0.6236 | 0.1571 | -188.3249 | -168.8844 | -2.4966 | -2.5038 |
| 0.6616 | 0.4824 | 2800 | 0.6473 | -0.7839 | -0.9244 | 0.6303 | 0.1405 | -155.1877 | -137.4051 | -2.4668 | -2.4737 |
| 0.6282 | 0.5513 | 3200 | 0.6395 | -1.3763 | -1.5943 | 0.6331 | 0.2181 | -222.1840 | -196.6437 | -2.2441 | -2.2573 |
| 0.5886 | 0.6203 | 3600 | 0.6382 | -1.2763 | -1.4872 | 0.6355 | 0.2109 | -211.4734 | -186.6474 | -2.1487 | -2.1634 |
| 0.5903 | 0.6892 | 4000 | 0.6398 | -1.0104 | -1.2131 | 0.6366 | 0.2027 | -184.0546 | -160.0534 | -2.1888 | -2.2035 |
| 0.5886 | 0.7581 | 4400 | 0.6349 | -1.2844 | -1.5732 | 0.6341 | 0.2888 | -220.0676 | -187.4508 | -2.0898 | -2.1111 |
| 0.5907 | 0.8270 | 4800 | 0.6306 | -1.3443 | -1.6135 | 0.6478 | 0.2692 | -224.0959 | -193.4449 | -2.0942 | -2.1137 |
| 0.5456 | 0.8959 | 5200 | 0.6327 | -1.1753 | -1.4199 | 0.6408 | 0.2446 | -204.7423 | -176.5441 | -2.1214 | -2.1394 |
| 0.5465 | 0.9649 | 5600 | 0.6325 | -1.2769 | -1.5500 | 0.6371 | 0.2731 | -217.7467 | -186.7071 | -2.0669 | -2.0872 |
| 0.4632 | 1.0338 | 6000 | 0.6484 | -2.1822 | -2.6404 | 0.6496 | 0.4582 | -326.7876 | -277.2339 | -1.8836 | -1.9125 |
| 0.4736 | 1.1027 | 6400 | 0.6454 | -2.1568 | -2.5961 | 0.6547 | 0.4393 | -322.3579 | -274.6943 | -1.8531 | -1.8794 |
| 0.4665 | 1.1716 | 6800 | 0.6386 | -1.8958 | -2.2728 | 0.6443 | 0.3770 | -290.0295 | -248.5992 | -1.8821 | -1.9042 |
| 0.4789 | 1.2405 | 7200 | 0.6483 | -1.9198 | -2.2931 | 0.6403 | 0.3733 | -292.0611 | -250.9941 | -1.9443 | -1.9659 |
| 0.5477 | 1.3094 | 7600 | 0.6413 | -1.7843 | -2.1677 | 0.6499 | 0.3834 | -279.5165 | -237.4425 | -1.9622 | -1.9845 |
| 0.4423 | 1.3784 | 8000 | 0.6528 | -2.0003 | -2.3620 | 0.6415 | 0.3617 | -298.9479 | -259.0417 | -1.9266 | -1.9469 |
| 0.4668 | 1.4473 | 8400 | 0.6515 | -1.8405 | -2.1818 | 0.6403 | 0.3413 | -280.9325 | -243.0684 | -1.9825 | -2.0027 |
| 0.509 | 1.5162 | 8800 | 0.6471 | -1.9547 | -2.3166 | 0.6424 | 0.3619 | -294.4091 | -254.4828 | -2.0224 | -2.0422 |
| 0.4177 | 1.5851 | 9200 | 0.6542 | -1.9336 | -2.3034 | 0.6392 | 0.3699 | -293.0923 | -252.3707 | -1.9854 | -2.0064 |
| 0.4181 | 1.6540 | 9600 | 0.6626 | -2.3352 | -2.8057 | 0.6438 | 0.4706 | -343.3230 | -292.5314 | -1.9265 | -1.9501 |
| 0.4469 | 1.7229 | 10000 | 0.6436 | -1.8037 | -2.1726 | 0.6431 | 0.3689 | -280.0089 | -239.3807 | -2.0388 | -2.0591 |
| 0.4365 | 1.7919 | 10400 | 0.6446 | -1.7691 | -2.1263 | 0.6466 | 0.3572 | -275.3837 | -235.9303 | -2.0443 | -2.0637 |
| 0.4488 | 1.8608 | 10800 | 0.6558 | -2.1203 | -2.5393 | 0.6450 | 0.4190 | -316.6843 | -271.0489 | -2.0317 | -2.0535 |
| 0.4611 | 1.9297 | 11200 | 0.6646 | -2.4708 | -2.9416 | 0.6468 | 0.4708 | -356.9083 | -306.0948 | -1.9987 | -2.0224 |
| 0.4546 | 1.9986 | 11600 | 0.6541 | -2.2751 | -2.7321 | 0.6436 | 0.4570 | -335.9583 | -286.5284 | -1.9967 | -2.0195 |
| 0.3836 | 2.0675 | 12000 | 0.6827 | -2.7558 | -3.3214 | 0.6464 | 0.5655 | -394.8881 | -334.6001 | -1.9585 | -1.9844 |
| 0.337 | 2.1365 | 12400 | 0.7083 | -3.2136 | -3.8269 | 0.6424 | 0.6132 | -445.4347 | -380.3789 | -1.9217 | -1.9480 |
| 0.3756 | 2.2054 | 12800 | 0.6892 | -2.5637 | -3.0760 | 0.6378 | 0.5123 | -370.3519 | -315.3893 | -1.9938 | -2.0171 |
| 0.4071 | 2.2743 | 13200 | 0.6989 | -2.7240 | -3.2763 | 0.6345 | 0.5523 | -390.3795 | -331.4143 | -1.9810 | -2.0059 |
| 0.4236 | 2.3432 | 13600 | 0.7127 | -2.9174 | -3.4982 | 0.6329 | 0.5808 | -412.5668 | -350.7576 | -1.9542 | -1.9798 |
| 0.3527 | 2.4121 | 14000 | 0.7006 | -2.6980 | -3.2475 | 0.6252 | 0.5496 | -387.5038 | -328.8109 | -1.9852 | -2.0098 |
| 0.3258 | 2.4810 | 14400 | 0.7095 | -2.9212 | -3.5009 | 0.6292 | 0.5798 | -412.8438 | -351.1316 | -1.9581 | -1.9835 |
| 0.3646 | 2.5500 | 14800 | 0.7041 | -2.7281 | -3.2711 | 0.6350 | 0.5430 | -389.8630 | -331.8257 | -1.9884 | -2.0127 |
| 0.3596 | 2.6189 | 15200 | 0.7046 | -2.7894 | -3.3372 | 0.6359 | 0.5478 | -396.4674 | -337.9509 | -1.9862 | -2.0104 |
| 0.3549 | 2.6878 | 15600 | 0.7067 | -2.8436 | -3.3930 | 0.6310 | 0.5494 | -402.0518 | -343.3737 | -1.9841 | -2.0084 |
| 0.2868 | 2.7567 | 16000 | 0.7117 | -2.9064 | -3.4673 | 0.6289 | 0.5609 | -409.4747 | -349.6523 | -1.9770 | -2.0016 |
| 0.3243 | 2.8256 | 16400 | 0.7086 | -2.8350 | -3.3883 | 0.6320 | 0.5533 | -401.5786 | -342.5143 | -1.9841 | -2.0085 |
| 0.3963 | 2.8946 | 16800 | 0.7104 | -2.8648 | -3.4205 | 0.6301 | 0.5558 | -404.8014 | -345.4919 | -1.9835 | -2.0081 |
| 0.3399 | 2.9635 | 17200 | 0.7095 | -2.8594 | -3.4153 | 0.6336 | 0.5559 | -404.2798 | -344.9560 | -1.9830 | -2.0075 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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