sft-safe-spin-v
This model is a fine-tuned version of AmberYifan/zephyr-7b-sft-safe on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1338
- Rewards/real: -3.4589
- Rewards/generated: -13.0205
- Rewards/accuracies: 0.9522
- Rewards/margins: 9.5616
- Logps/generated: -186.5033
- Logps/real: -173.6707
- Logits/generated: -3.1233
- Logits/real: -3.5104
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
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.4603 | 0.06 | 100 | 0.2849 | 0.3170 | -4.8525 | 0.9697 | 5.1696 | -104.8239 | -135.9118 | -4.1358 | -4.3181 |
| 0.2425 | 0.12 | 200 | 0.2396 | -1.7168 | -15.7686 | 0.8997 | 14.0518 | -213.9848 | -156.2504 | -3.7662 | -3.9307 |
| 0.1942 | 0.17 | 300 | 0.1536 | -2.2725 | -23.7294 | 0.9395 | 21.4568 | -293.5923 | -161.8076 | -3.6024 | -3.7832 |
| 0.1872 | 0.23 | 400 | 0.1591 | -1.9811 | -26.8335 | 0.9443 | 24.8523 | -324.6334 | -158.8936 | -3.7387 | -3.9242 |
| 0.5386 | 0.29 | 500 | 0.2124 | -2.1951 | -12.1230 | 0.9260 | 9.9280 | -177.5292 | -161.0329 | -3.5142 | -3.8361 |
| 0.1318 | 0.35 | 600 | 0.1397 | -2.3554 | -19.3040 | 0.9570 | 16.9486 | -249.3387 | -162.6357 | -3.3916 | -3.8319 |
| 0.1311 | 0.41 | 700 | 0.1589 | -2.6398 | -20.7908 | 0.9363 | 18.1510 | -264.2064 | -165.4799 | -3.2845 | -3.7517 |
| 0.121 | 0.47 | 800 | 0.1282 | -2.8500 | -22.0061 | 0.9546 | 19.1561 | -276.3602 | -167.5825 | -3.1277 | -3.6228 |
| 0.1115 | 0.52 | 900 | 0.1392 | -3.3374 | -22.9391 | 0.9419 | 19.6017 | -285.6900 | -172.4560 | -3.0962 | -3.6427 |
| 2.648 | 0.58 | 1000 | 0.1711 | -3.2299 | -10.5445 | 0.9411 | 7.3146 | -161.7435 | -171.3813 | -3.4082 | -3.6724 |
| 0.1078 | 0.64 | 1100 | 0.1340 | -2.8961 | -11.3713 | 0.9498 | 8.4752 | -170.0120 | -168.0435 | -3.3383 | -3.6687 |
| 0.0751 | 0.7 | 1200 | 0.1293 | -2.8024 | -11.6866 | 0.9522 | 8.8842 | -173.1649 | -167.1059 | -3.2816 | -3.6419 |
| 0.0927 | 0.76 | 1300 | 0.1276 | -3.0019 | -12.3015 | 0.9514 | 9.2996 | -179.3133 | -169.1012 | -3.2296 | -3.6103 |
| 0.0963 | 0.81 | 1400 | 0.1256 | -2.9332 | -12.3140 | 0.9546 | 9.3809 | -179.4392 | -168.4139 | -3.2433 | -3.6265 |
| 0.1122 | 0.87 | 1500 | 0.1280 | -3.3660 | -12.7449 | 0.9546 | 9.3789 | -183.7474 | -172.7419 | -3.1923 | -3.5761 |
| 0.092 | 0.93 | 1600 | 0.1407 | -3.5290 | -13.0250 | 0.9459 | 9.4960 | -186.5488 | -174.3717 | -3.1057 | -3.4905 |
| 0.0876 | 0.99 | 1700 | 0.1338 | -3.4589 | -13.0205 | 0.9522 | 9.5616 | -186.5033 | -173.6707 | -3.1233 | -3.5104 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
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Model tree for AmberYifan/sft-safe-spin-v
Base model
mistralai/Mistral-7B-v0.1
Finetuned
alignment-handbook/zephyr-7b-sft-full
Finetuned
AmberYifan/zephyr-7b-sft-safe