zephyr-7b-dpo-full
This model is a fine-tuned version of glimmerz/zephyr-7b-sft-full on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7385
- Rewards/chosen: -4.7566
- Rewards/rejected: -8.6166
- Rewards/accuracies: 0.7560
- Rewards/margins: 3.8601
- Logps/rejected: -315.8341
- Logps/chosen: -321.4129
- Logits/rejected: -2.2590
- Logits/chosen: -2.3620
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: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.575 | 0.1 | 100 | 0.5309 | -0.0101 | -0.6034 | 0.7460 | 0.5933 | -235.7018 | -273.9487 | -2.6525 | -2.7458 |
| 0.4759 | 0.21 | 200 | 0.4943 | -0.0642 | -1.0829 | 0.75 | 1.0187 | -240.4966 | -274.4892 | -2.7066 | -2.8006 |
| 0.5022 | 0.31 | 300 | 0.4824 | -0.1526 | -1.2517 | 0.7620 | 1.0991 | -242.1845 | -275.3735 | -2.7362 | -2.8225 |
| 0.5282 | 0.41 | 400 | 0.4878 | -0.6794 | -1.9420 | 0.7840 | 1.2626 | -249.0876 | -280.6413 | -2.7023 | -2.7924 |
| 0.5179 | 0.52 | 500 | 0.4805 | -0.2645 | -1.4485 | 0.7760 | 1.1841 | -244.1532 | -276.4918 | -2.6773 | -2.7631 |
| 0.4705 | 0.62 | 600 | 0.4715 | -0.3016 | -1.5766 | 0.7560 | 1.2750 | -245.4337 | -276.8629 | -2.7009 | -2.7838 |
| 0.5038 | 0.72 | 700 | 0.4790 | -0.3119 | -1.5731 | 0.7680 | 1.2612 | -245.3986 | -276.9666 | -2.5409 | -2.6269 |
| 0.4418 | 0.83 | 800 | 0.4665 | -0.4564 | -2.0177 | 0.7800 | 1.5612 | -249.8442 | -278.4113 | -2.4834 | -2.5636 |
| 0.5155 | 0.93 | 900 | 0.4770 | -0.3715 | -1.7079 | 0.7740 | 1.3364 | -246.7468 | -277.5622 | -2.5118 | -2.5927 |
| 0.3463 | 1.03 | 1000 | 0.4755 | -0.5305 | -1.8263 | 0.7680 | 1.2958 | -247.9306 | -279.1520 | -2.6282 | -2.7083 |
| 0.1266 | 1.14 | 1100 | 0.4924 | -1.0131 | -2.8651 | 0.7740 | 1.8519 | -258.3182 | -283.9783 | -2.5584 | -2.6430 |
| 0.0751 | 1.24 | 1200 | 0.5208 | -1.4508 | -3.6646 | 0.7760 | 2.2138 | -266.3139 | -288.3549 | -2.5574 | -2.6450 |
| 0.0306 | 1.34 | 1300 | 0.5779 | -2.1463 | -4.7450 | 0.7580 | 2.5987 | -277.1172 | -295.3102 | -2.4957 | -2.5865 |
| 0.031 | 1.45 | 1400 | 0.5993 | -2.6730 | -5.3111 | 0.7580 | 2.6381 | -282.7792 | -300.5774 | -2.5157 | -2.6051 |
| 0.0535 | 1.55 | 1500 | 0.5731 | -2.1627 | -4.7943 | 0.75 | 2.6316 | -277.6110 | -295.4747 | -2.5616 | -2.6529 |
| 0.063 | 1.65 | 1600 | 0.5433 | -1.9823 | -4.5765 | 0.7580 | 2.5942 | -275.4325 | -293.6702 | -2.5038 | -2.5985 |
| 0.0423 | 1.76 | 1700 | 0.5821 | -2.6553 | -5.4183 | 0.7540 | 2.7630 | -283.8502 | -300.3999 | -2.4636 | -2.5654 |
| 0.0559 | 1.86 | 1800 | 0.5657 | -2.5801 | -5.2643 | 0.7520 | 2.6842 | -282.3106 | -299.6483 | -2.4843 | -2.5741 |
| 0.0468 | 1.96 | 1900 | 0.5759 | -2.4597 | -5.2907 | 0.7480 | 2.8309 | -282.5742 | -298.4443 | -2.4491 | -2.5392 |
| 0.0576 | 2.07 | 2000 | 0.5614 | -2.5997 | -5.3232 | 0.7620 | 2.7235 | -282.8997 | -299.8446 | -2.4132 | -2.5016 |
| 0.0135 | 2.17 | 2100 | 0.6182 | -3.1988 | -6.3849 | 0.7640 | 3.1861 | -293.5166 | -305.8354 | -2.4052 | -2.5040 |
| 0.0149 | 2.27 | 2200 | 0.7075 | -4.5960 | -8.1955 | 0.7420 | 3.5995 | -311.6229 | -319.8072 | -2.3535 | -2.4494 |
| 0.0095 | 2.37 | 2300 | 0.7117 | -4.2102 | -7.7788 | 0.7540 | 3.5686 | -307.4559 | -315.9493 | -2.2943 | -2.3972 |
| 0.0104 | 2.48 | 2400 | 0.7131 | -4.3371 | -7.9252 | 0.7540 | 3.5881 | -308.9199 | -317.2180 | -2.3097 | -2.4097 |
| 0.008 | 2.58 | 2500 | 0.7328 | -4.4361 | -8.1696 | 0.7520 | 3.7335 | -311.3636 | -318.2084 | -2.2756 | -2.3764 |
| 0.0051 | 2.68 | 2600 | 0.7193 | -4.2884 | -7.9892 | 0.7600 | 3.7009 | -309.5601 | -316.7311 | -2.3138 | -2.4185 |
| 0.0089 | 2.79 | 2700 | 0.7388 | -4.8991 | -8.6552 | 0.7660 | 3.7561 | -316.2196 | -322.8380 | -2.2942 | -2.3960 |
| 0.0082 | 2.89 | 2800 | 0.7342 | -4.7984 | -8.6596 | 0.7640 | 3.8612 | -316.2638 | -321.8309 | -2.2620 | -2.3649 |
| 0.0094 | 2.99 | 2900 | 0.7374 | -4.7573 | -8.6168 | 0.7580 | 3.8595 | -315.8361 | -321.4205 | -2.2595 | -2.3625 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0
- Datasets 2.15.0
- Tokenizers 0.15.0
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