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abhiGOAT
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mistral-dpo

PEFT
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Safetensors
trl
dpo
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abhiGOAT/DPO

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Files changed (5) hide show
  1. README.md +34 -34
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. runs/Feb14_07-24-15_fd2fd7522c82/events.out.tfevents.1707895529.fd2fd7522c82.26.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -18,15 +18,15 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7572
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- - Rewards/chosen: 1.2167
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- - Rewards/rejected: 1.0623
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- - Rewards/accuracies: 0.5096
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- - Rewards/margins: 0.1544
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- - Logps/rejected: -175.8600
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- - Logps/chosen: -185.2850
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- - Logits/rejected: -2.4403
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- - Logits/chosen: -2.5187
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  ## Model description
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@@ -59,31 +59,31 @@ The following hyperparameters were used during training:
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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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- | 0.7021 | 0.0 | 10 | 0.6890 | 0.1146 | 0.0999 | 0.5192 | 0.0147 | -185.4845 | -196.3061 | -2.3759 | -2.4612 |
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- | 0.6841 | 0.0 | 20 | 0.7001 | 0.0160 | 0.0098 | 0.5 | 0.0062 | -186.3854 | -197.2926 | -2.3872 | -2.4717 |
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- | 0.8876 | 0.0 | 30 | 0.7302 | -0.1955 | -0.1884 | 0.5385 | -0.0071 | -188.3676 | -199.4075 | -2.4070 | -2.4917 |
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- | 0.8433 | 0.0 | 40 | 0.7276 | -0.0970 | -0.0927 | 0.5288 | -0.0043 | -187.4101 | -198.4224 | -2.4156 | -2.4975 |
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- | 0.8355 | 0.0 | 50 | 0.7405 | 0.3519 | 0.3619 | 0.4808 | -0.0100 | -182.8643 | -193.9333 | -2.4256 | -2.5051 |
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- | 0.7391 | 0.0 | 60 | 0.7472 | 0.5734 | 0.5592 | 0.5481 | 0.0142 | -180.8914 | -191.7185 | -2.4426 | -2.5190 |
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- | 0.5922 | 0.01 | 70 | 0.7534 | 0.8179 | 0.7898 | 0.5192 | 0.0281 | -178.5854 | -189.2730 | -2.4396 | -2.5167 |
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- | 0.6762 | 0.01 | 80 | 0.7436 | 0.7843 | 0.7179 | 0.5385 | 0.0664 | -179.3046 | -189.6097 | -2.4306 | -2.5082 |
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- | 0.5934 | 0.01 | 90 | 0.7474 | 0.8646 | 0.7935 | 0.5192 | 0.0711 | -178.5482 | -188.8059 | -2.4360 | -2.5117 |
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- | 0.5773 | 0.01 | 100 | 0.7527 | 0.8864 | 0.8060 | 0.5481 | 0.0804 | -178.4233 | -188.5887 | -2.4363 | -2.5114 |
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- | 1.159 | 0.01 | 110 | 0.7513 | 0.7767 | 0.6900 | 0.5385 | 0.0867 | -179.5837 | -189.6852 | -2.4325 | -2.5061 |
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- | 0.5871 | 0.01 | 120 | 0.7514 | 0.6924 | 0.6190 | 0.5385 | 0.0733 | -180.2931 | -190.5286 | -2.4307 | -2.5040 |
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- | 0.6655 | 0.01 | 130 | 0.7515 | 0.5617 | 0.4862 | 0.5385 | 0.0755 | -181.6214 | -191.8357 | -2.4293 | -2.5029 |
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- | 0.5963 | 0.01 | 140 | 0.7489 | 0.4748 | 0.3917 | 0.5481 | 0.0831 | -182.5665 | -192.7043 | -2.4326 | -2.5072 |
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- | 0.7817 | 0.01 | 150 | 0.7466 | 0.5389 | 0.4527 | 0.5288 | 0.0862 | -181.9568 | -192.0635 | -2.4306 | -2.5059 |
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- | 0.7836 | 0.01 | 160 | 0.7399 | 0.5166 | 0.4148 | 0.5288 | 0.1017 | -182.3349 | -192.2867 | -2.4256 | -2.5014 |
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- | 0.6246 | 0.01 | 170 | 0.7478 | 0.9222 | 0.8063 | 0.5 | 0.1159 | -178.4202 | -188.2300 | -2.4449 | -2.5218 |
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- | 0.6159 | 0.01 | 180 | 0.7637 | 1.1539 | 1.0352 | 0.5 | 0.1187 | -176.1314 | -185.9132 | -2.4491 | -2.5259 |
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- | 0.9218 | 0.02 | 190 | 0.7670 | 1.1914 | 1.0684 | 0.4808 | 0.1230 | -175.7993 | -185.5382 | -2.4471 | -2.5233 |
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- | 0.8469 | 0.02 | 200 | 0.7670 | 1.2246 | 1.0991 | 0.5096 | 0.1255 | -175.4922 | -185.2060 | -2.4455 | -2.5220 |
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- | 0.5824 | 0.02 | 210 | 0.7601 | 1.2119 | 1.0773 | 0.5096 | 0.1346 | -175.7105 | -185.3338 | -2.4418 | -2.5188 |
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- | 0.5718 | 0.02 | 220 | 0.7590 | 1.2120 | 1.0736 | 0.5096 | 0.1384 | -175.7473 | -185.3322 | -2.4392 | -2.5168 |
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- | 0.7219 | 0.02 | 230 | 0.7578 | 1.2033 | 1.0583 | 0.4904 | 0.1450 | -175.9007 | -185.4198 | -2.4385 | -2.5165 |
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- | 2.6464 | 0.02 | 240 | 0.7570 | 1.2096 | 1.0575 | 0.5 | 0.1520 | -175.9079 | -185.3567 | -2.4392 | -2.5175 |
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- | 0.8964 | 0.02 | 250 | 0.7572 | 1.2167 | 1.0623 | 0.5096 | 0.1544 | -175.8600 | -185.2850 | -2.4403 | -2.5187 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [TheBloke/OpenHermes-2-Mistral-7B-GPTQ](https://huggingface.co/TheBloke/OpenHermes-2-Mistral-7B-GPTQ) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6944
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+ - Rewards/chosen: 0.2782
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+ - Rewards/rejected: 0.0543
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+ - Rewards/accuracies: 0.5385
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+ - Rewards/margins: 0.2239
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+ - Logps/rejected: -187.8588
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+ - Logps/chosen: -166.3796
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+ - Logits/rejected: -2.4215
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+ - Logits/chosen: -2.4790
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  ## Model description
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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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+ | 0.7027 | 0.0 | 10 | 0.6989 | 0.0816 | 0.0881 | 0.5577 | -0.0065 | -187.5204 | -168.3459 | -2.4271 | -2.4774 |
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+ | 0.6833 | 0.0 | 20 | 0.7017 | -0.0375 | -0.0327 | 0.5288 | -0.0048 | -188.7280 | -169.5362 | -2.4376 | -2.4828 |
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+ | 0.867 | 0.0 | 30 | 0.7193 | -0.3147 | -0.3086 | 0.5385 | -0.0061 | -191.4871 | -172.3083 | -2.4532 | -2.4942 |
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+ | 0.8962 | 0.0 | 40 | 0.7068 | -0.2076 | -0.2208 | 0.5577 | 0.0132 | -190.6093 | -171.2371 | -2.4597 | -2.5054 |
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+ | 0.7467 | 0.0 | 50 | 0.7008 | 0.1918 | 0.1648 | 0.5577 | 0.0270 | -186.7531 | -167.2434 | -2.4630 | -2.5116 |
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+ | 0.7335 | 0.0 | 60 | 0.6972 | 0.3949 | 0.3373 | 0.5385 | 0.0576 | -185.0280 | -165.2124 | -2.4666 | -2.5130 |
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+ | 0.587 | 0.01 | 70 | 0.7116 | 0.6763 | 0.6193 | 0.4904 | 0.0570 | -182.2083 | -162.3980 | -2.4675 | -2.5126 |
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+ | 0.675 | 0.01 | 80 | 0.7330 | 0.8676 | 0.8385 | 0.5096 | 0.0291 | -180.0161 | -160.4852 | -2.4726 | -2.5171 |
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+ | 0.6117 | 0.01 | 90 | 0.7454 | 0.9576 | 0.9300 | 0.5192 | 0.0276 | -179.1016 | -159.5854 | -2.4757 | -2.5229 |
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+ | 0.5697 | 0.01 | 100 | 0.7715 | 0.9933 | 0.9991 | 0.5 | -0.0059 | -178.4101 | -159.2286 | -2.4736 | -2.5233 |
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+ | 1.1319 | 0.01 | 110 | 0.7652 | 0.9034 | 0.8862 | 0.4904 | 0.0172 | -179.5398 | -160.1275 | -2.4696 | -2.5215 |
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+ | 0.5912 | 0.01 | 120 | 0.7476 | 0.7562 | 0.7007 | 0.5096 | 0.0555 | -181.3943 | -161.5994 | -2.4661 | -2.5186 |
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+ | 0.702 | 0.01 | 130 | 0.7400 | 0.7400 | 0.6590 | 0.5192 | 0.0810 | -181.8113 | -161.7616 | -2.4642 | -2.5211 |
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+ | 0.5566 | 0.01 | 140 | 0.7332 | 0.6338 | 0.5293 | 0.5288 | 0.1044 | -183.1082 | -162.8238 | -2.4650 | -2.5222 |
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+ | 0.7823 | 0.01 | 150 | 0.7327 | 0.5429 | 0.4408 | 0.5385 | 0.1022 | -183.9939 | -163.7323 | -2.4645 | -2.5191 |
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+ | 0.7549 | 0.01 | 160 | 0.7282 | 0.3954 | 0.2907 | 0.5481 | 0.1047 | -185.4949 | -165.2079 | -2.4612 | -2.5138 |
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+ | 0.6506 | 0.01 | 170 | 0.7262 | 0.3748 | 0.2716 | 0.5192 | 0.1031 | -185.6850 | -165.4137 | -2.4579 | -2.5102 |
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+ | 0.559 | 0.01 | 180 | 0.7320 | 0.4578 | 0.3604 | 0.5096 | 0.0974 | -184.7973 | -164.5831 | -2.4589 | -2.5109 |
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+ | 0.9496 | 0.02 | 190 | 0.7150 | 0.4227 | 0.2889 | 0.5192 | 0.1339 | -185.5128 | -164.9340 | -2.4480 | -2.5007 |
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+ | 0.7996 | 0.02 | 200 | 0.7034 | 0.4051 | 0.2378 | 0.5288 | 0.1673 | -186.0234 | -165.1101 | -2.4391 | -2.4926 |
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+ | 0.5733 | 0.02 | 210 | 0.6977 | 0.3946 | 0.2110 | 0.5288 | 0.1836 | -186.2916 | -165.2155 | -2.4327 | -2.4875 |
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+ | 0.5796 | 0.02 | 220 | 0.6981 | 0.3933 | 0.1983 | 0.5288 | 0.1949 | -186.4181 | -165.2286 | -2.4260 | -2.4824 |
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+ | 0.6435 | 0.02 | 230 | 0.6976 | 0.3726 | 0.1714 | 0.5288 | 0.2012 | -186.6871 | -165.4354 | -2.4237 | -2.4807 |
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+ | 0.5993 | 0.02 | 240 | 0.6958 | 0.3088 | 0.0929 | 0.5385 | 0.2159 | -187.4724 | -166.0730 | -2.4222 | -2.4799 |
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+ | 0.9077 | 0.02 | 250 | 0.6944 | 0.2782 | 0.0543 | 0.5385 | 0.2239 | -187.8588 | -166.3796 | -2.4215 | -2.4790 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -19,8 +19,8 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "q_proj",
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  "task_type": "CAUSAL_LM",
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  "use_rslora": false
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "v_proj",
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+ "q_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_rslora": false
adapter_model.safetensors CHANGED
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