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just1nseo
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zephyr-dpo-qlora-uf-ours-uffull-5e-6

PEFT
TensorBoard
Safetensors
mistral
alignment-handbook
trl
dpo
Generated from Trainer
4-bit precision
bitsandbytes
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  1. README.md +118 -0
  2. adapter_model.safetensors +1 -1
  3. all_results.json +8 -0
  4. runs/Jul16_03-11-53_notebook-deployment-48-7d9b6c99-p5kv4/events.out.tfevents.1721100016.notebook-deployment-48-7d9b6c99-p5kv4.69986.0 +2 -2
  5. train_results.json +8 -0
  6. trainer_state.json +0 -0
README.md ADDED
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+ ---
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+ base_model: alignment-handbook/zephyr-7b-sft-full
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+ library_name: peft
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+ license: apache-2.0
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+ tags:
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+ - trl
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+ - dpo
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+ - generated_from_trainer
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+ model-index:
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+ - name: zephyr-dpo-qlora-uf-ours-uffull-5e-6
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+ results: []
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+ ---
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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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+
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+ # zephyr-dpo-qlora-uf-ours-uffull-5e-6
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+
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+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4950
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+ - Rewards/chosen: -1.7859
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+ - Rewards/rejected: -2.8799
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+ - Rewards/accuracies: 0.7480
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+ - Rewards/margins: 1.0940
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+ - Rewards/margins Max: 3.5863
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+ - Rewards/margins Min: -0.9706
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+ - Rewards/margins Std: 1.5436
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+ - Logps/rejected: -553.8444
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+ - Logps/chosen: -463.0418
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+ - Logits/rejected: -1.5527
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+ - Logits/chosen: -1.6196
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-06
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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+ - total_eval_batch_size: 16
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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: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:|
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+ | 0.6903 | 0.02 | 100 | 0.6905 | 0.0096 | 0.0042 | 0.6635 | 0.0055 | 0.0279 | -0.0135 | 0.0138 | -265.4348 | -283.4918 | -2.7667 | -2.8015 |
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+ | 0.6668 | 0.05 | 200 | 0.6714 | 0.0249 | -0.0232 | 0.6645 | 0.0481 | 0.2299 | -0.1105 | 0.1130 | -268.1768 | -281.9665 | -2.7343 | -2.7676 |
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+ | 0.6136 | 0.07 | 300 | 0.6388 | -0.2723 | -0.4201 | 0.6695 | 0.1478 | 0.6956 | -0.3145 | 0.3388 | -307.8617 | -311.6826 | -2.6777 | -2.7086 |
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+ | 0.6224 | 0.1 | 400 | 0.6072 | -0.4408 | -0.7266 | 0.6825 | 0.2858 | 1.2193 | -0.5526 | 0.5951 | -338.5125 | -328.5356 | -2.5218 | -2.5541 |
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+ | 0.5913 | 0.12 | 500 | 0.5700 | -0.6299 | -1.0928 | 0.6975 | 0.4629 | 1.7719 | -0.6554 | 0.8141 | -375.1356 | -347.4472 | -2.1793 | -2.2226 |
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+ | 0.5721 | 0.14 | 600 | 0.5595 | -1.1081 | -1.7353 | 0.7145 | 0.6271 | 2.2934 | -0.8628 | 1.0597 | -439.3786 | -395.2698 | -2.0549 | -2.1036 |
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+ | 0.4888 | 0.17 | 700 | 0.5546 | -1.4460 | -2.1425 | 0.7085 | 0.6965 | 2.5873 | -0.9396 | 1.1811 | -480.1024 | -429.0589 | -1.7782 | -1.8362 |
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+ | 0.4774 | 0.19 | 800 | 0.5258 | -1.2110 | -1.9801 | 0.7270 | 0.7691 | 2.5889 | -0.8329 | 1.1591 | -463.8646 | -405.5573 | -1.9074 | -1.9645 |
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+ | 0.521 | 0.22 | 900 | 0.5286 | -1.4043 | -2.2106 | 0.7355 | 0.8063 | 2.8030 | -0.8890 | 1.2406 | -486.9130 | -424.8805 | -1.5390 | -1.5999 |
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+ | 0.4871 | 0.24 | 1000 | 0.5354 | -1.0617 | -1.8924 | 0.7250 | 0.8307 | 2.9996 | -0.8983 | 1.3137 | -455.0902 | -390.6243 | -1.7795 | -1.8273 |
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+ | 0.5574 | 0.26 | 1100 | 0.5379 | -1.2560 | -2.0556 | 0.7205 | 0.7996 | 3.0463 | -0.8879 | 1.3085 | -471.4182 | -410.0581 | -1.6403 | -1.6951 |
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+ | 0.5017 | 0.29 | 1200 | 0.5261 | -1.3320 | -2.1724 | 0.7295 | 0.8404 | 2.9985 | -0.8951 | 1.3031 | -483.0894 | -417.6535 | -1.7025 | -1.7570 |
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+ | 0.4478 | 0.31 | 1300 | 0.5277 | -1.7254 | -2.6499 | 0.7230 | 0.9245 | 3.2834 | -1.0237 | 1.4394 | -530.8426 | -456.9910 | -1.7244 | -1.7779 |
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+ | 0.4919 | 0.34 | 1400 | 0.5189 | -1.1742 | -2.0426 | 0.7365 | 0.8684 | 3.0337 | -0.9052 | 1.3302 | -470.1158 | -401.8751 | -1.5533 | -1.6223 |
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+ | 0.4792 | 0.36 | 1500 | 0.5205 | -1.3947 | -2.3310 | 0.7340 | 0.9364 | 3.1265 | -0.9863 | 1.3913 | -498.9553 | -423.9220 | -1.6972 | -1.7596 |
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+ | 0.4952 | 0.38 | 1600 | 0.5316 | -1.8397 | -2.8176 | 0.7290 | 0.9779 | 3.2675 | -1.0997 | 1.4769 | -547.6121 | -468.4282 | -1.8293 | -1.8827 |
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+ | 0.5084 | 0.41 | 1700 | 0.5285 | -2.4336 | -3.4484 | 0.7295 | 1.0147 | 3.4046 | -1.1112 | 1.5199 | -610.6892 | -527.8181 | -1.5473 | -1.6112 |
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+ | 0.4676 | 0.43 | 1800 | 0.5162 | -1.8360 | -2.7043 | 0.7370 | 0.8683 | 2.8969 | -0.9280 | 1.2953 | -536.2840 | -468.0518 | -1.5045 | -1.5680 |
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+ | 0.4588 | 0.45 | 1900 | 0.5073 | -1.5345 | -2.4614 | 0.7435 | 0.9269 | 3.0227 | -0.9141 | 1.3341 | -511.9908 | -437.9078 | -1.3109 | -1.3855 |
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+ | 0.4826 | 0.48 | 2000 | 0.5104 | -1.6277 | -2.6050 | 0.7385 | 0.9773 | 3.2595 | -0.9829 | 1.4282 | -526.3553 | -447.2241 | -1.3208 | -1.3956 |
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+ | 0.4925 | 0.5 | 2100 | 0.5079 | -1.6078 | -2.5256 | 0.7355 | 0.9178 | 2.9879 | -0.9518 | 1.3324 | -518.4150 | -445.2356 | -1.5277 | -1.5931 |
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+ | 0.546 | 0.53 | 2200 | 0.5100 | -1.7097 | -2.6882 | 0.7370 | 0.9785 | 3.1492 | -1.0011 | 1.4117 | -534.6687 | -455.4216 | -1.4247 | -1.4938 |
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+ | 0.4958 | 0.55 | 2300 | 0.5047 | -1.4824 | -2.3935 | 0.7385 | 0.9111 | 2.9984 | -0.8454 | 1.2951 | -505.2043 | -432.6925 | -1.6758 | -1.7328 |
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+ | 0.4757 | 0.57 | 2400 | 0.5021 | -1.6699 | -2.6304 | 0.7380 | 0.9605 | 3.1590 | -0.8924 | 1.3656 | -528.8900 | -451.4436 | -1.4670 | -1.5347 |
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+ | 0.4539 | 0.6 | 2500 | 0.5025 | -1.7424 | -2.7890 | 0.7400 | 1.0466 | 3.4316 | -1.0034 | 1.5001 | -544.7556 | -458.6970 | -1.5551 | -1.6231 |
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+ | 0.4612 | 0.62 | 2600 | 0.4991 | -1.7503 | -2.8124 | 0.7415 | 1.0621 | 3.4721 | -0.9695 | 1.5041 | -547.0907 | -459.4844 | -1.4927 | -1.5622 |
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+ | 0.5267 | 0.65 | 2700 | 0.4989 | -1.5988 | -2.5869 | 0.7410 | 0.9881 | 3.2210 | -0.9401 | 1.4114 | -524.5454 | -444.3344 | -1.5476 | -1.6161 |
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+ | 0.4999 | 0.67 | 2800 | 0.4974 | -1.6001 | -2.5954 | 0.7470 | 0.9953 | 3.2272 | -0.8964 | 1.3973 | -525.3958 | -444.4690 | -1.5260 | -1.5935 |
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+ | 0.4589 | 0.69 | 2900 | 0.4977 | -1.7829 | -2.8625 | 0.7415 | 1.0796 | 3.5812 | -0.9488 | 1.5304 | -552.1008 | -462.7464 | -1.5484 | -1.6154 |
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+ | 0.4433 | 0.72 | 3000 | 0.4995 | -1.7820 | -2.8827 | 0.7395 | 1.1007 | 3.6468 | -0.9945 | 1.5727 | -554.1236 | -462.6560 | -1.5922 | -1.6589 |
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+ | 0.4908 | 0.74 | 3100 | 0.4970 | -1.7323 | -2.7993 | 0.7415 | 1.0669 | 3.5268 | -0.9553 | 1.5148 | -545.7810 | -457.6894 | -1.6165 | -1.6807 |
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+ | 0.4325 | 0.77 | 3200 | 0.4972 | -1.3958 | -2.4076 | 0.75 | 1.0117 | 3.3475 | -0.9045 | 1.4383 | -506.6104 | -424.0385 | -1.6999 | -1.7600 |
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+ | 0.4645 | 0.79 | 3300 | 0.4970 | -1.7218 | -2.8037 | 0.7485 | 1.0819 | 3.5295 | -0.9807 | 1.5290 | -546.2211 | -456.6324 | -1.5845 | -1.6505 |
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+ | 0.4612 | 0.81 | 3400 | 0.4980 | -1.8787 | -2.9919 | 0.7445 | 1.1132 | 3.6640 | -1.0013 | 1.5776 | -565.0459 | -472.3241 | -1.4980 | -1.5678 |
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+ | 0.4023 | 0.84 | 3500 | 0.4987 | -2.0641 | -3.1949 | 0.7410 | 1.1308 | 3.7331 | -1.0134 | 1.6034 | -585.3400 | -490.8608 | -1.4923 | -1.5625 |
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+ | 0.4564 | 0.86 | 3600 | 0.4952 | -1.8890 | -2.9834 | 0.7445 | 1.0943 | 3.5913 | -0.9690 | 1.5435 | -564.1885 | -473.3587 | -1.5268 | -1.5955 |
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+ | 0.4337 | 0.89 | 3700 | 0.4948 | -1.7899 | -2.8791 | 0.7480 | 1.0892 | 3.5650 | -0.9671 | 1.5348 | -553.7646 | -463.4457 | -1.5501 | -1.6174 |
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+ | 0.4687 | 0.91 | 3800 | 0.4949 | -1.7971 | -2.8908 | 0.7475 | 1.0937 | 3.5845 | -0.9702 | 1.5427 | -554.9319 | -464.1627 | -1.5573 | -1.6238 |
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+ | 0.4624 | 0.93 | 3900 | 0.4946 | -1.7588 | -2.8495 | 0.7480 | 1.0908 | 3.5789 | -0.9633 | 1.5386 | -550.8040 | -460.3306 | -1.5625 | -1.6288 |
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+ | 0.4744 | 0.96 | 4000 | 0.4948 | -1.7812 | -2.8753 | 0.7470 | 1.0941 | 3.5851 | -0.9685 | 1.5428 | -553.3815 | -462.5721 | -1.5573 | -1.6239 |
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+ | 0.4294 | 0.98 | 4100 | 0.4950 | -1.7859 | -2.8799 | 0.7480 | 1.0940 | 3.5863 | -0.9706 | 1.5436 | -553.8444 | -463.0418 | -1.5527 | -1.6196 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1
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+ - Transformers 4.39.0.dev0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.2
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