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tsavage68
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Summary_L3_1000steps_1e6rate_03beta_CSFTDPO

Text Generation
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End of training

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  1. README.md +27 -27
  2. final_checkpoint/model-00001-of-00004.safetensors +1 -1
  3. final_checkpoint/model-00002-of-00004.safetensors +1 -1
  4. final_checkpoint/model-00003-of-00004.safetensors +1 -1
  5. final_checkpoint/model-00004-of-00004.safetensors +1 -1
  6. model-00001-of-00004.safetensors +1 -1
  7. model-00002-of-00004.safetensors +1 -1
  8. model-00003-of-00004.safetensors +1 -1
  9. model-00004-of-00004.safetensors +1 -1
  10. training_args.bin +1 -1
README.md CHANGED
@@ -18,14 +18,14 @@ should probably proofread and complete it, then remove this comment. -->
18
  This model is a fine-tuned version of [tsavage68/Summary_L3_1000steps_1e7rate_SFT2](https://huggingface.co/tsavage68/Summary_L3_1000steps_1e7rate_SFT2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.5961
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- - Rewards/chosen: -0.0885
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- - Rewards/rejected: -2.0984
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  - Rewards/accuracies: 0.1400
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- - Rewards/margins: 2.0099
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- - Logps/rejected: -36.2478
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- - Logps/chosen: -10.2675
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- - Logits/rejected: -1.2445
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- - Logits/chosen: -1.2412
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  ## Model description
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@@ -59,26 +59,26 @@ 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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- | 0.571 | 0.2004 | 50 | 0.5986 | 0.0271 | -0.6059 | 0.1400 | 0.6329 | -21.3224 | -9.1122 | -1.1153 | -1.1163 |
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- | 0.6585 | 0.4008 | 100 | 0.5962 | 0.0177 | -1.2883 | 0.1400 | 1.3060 | -28.1472 | -9.2058 | -1.1739 | -1.1725 |
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- | 0.6238 | 0.6012 | 150 | 0.5961 | -0.0262 | -1.7529 | 0.1400 | 1.7267 | -32.7924 | -9.6448 | -1.2119 | -1.2094 |
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- | 0.6065 | 0.8016 | 200 | 0.5961 | -0.0848 | -2.0675 | 0.1400 | 1.9828 | -35.9388 | -10.2303 | -1.2396 | -1.2364 |
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- | 0.6238 | 1.0020 | 250 | 0.5961 | -0.0864 | -2.0702 | 0.1400 | 1.9839 | -35.9662 | -10.2464 | -1.2401 | -1.2369 |
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- | 0.6238 | 1.2024 | 300 | 0.5961 | -0.0864 | -2.0688 | 0.1400 | 1.9824 | -35.9522 | -10.2471 | -1.2396 | -1.2364 |
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- | 0.6238 | 1.4028 | 350 | 0.5961 | -0.0866 | -2.0730 | 0.1400 | 1.9864 | -35.9935 | -10.2485 | -1.2409 | -1.2378 |
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- | 0.5718 | 1.6032 | 400 | 0.5961 | -0.0880 | -2.0816 | 0.1400 | 1.9937 | -36.0800 | -10.2625 | -1.2420 | -1.2388 |
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- | 0.5892 | 1.8036 | 450 | 0.5961 | -0.0869 | -2.0872 | 0.1400 | 2.0004 | -36.1360 | -10.2514 | -1.2428 | -1.2396 |
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- | 0.5718 | 2.0040 | 500 | 0.5961 | -0.0873 | -2.0879 | 0.1400 | 2.0006 | -36.1431 | -10.2557 | -1.2431 | -1.2399 |
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- | 0.5718 | 2.2044 | 550 | 0.5961 | -0.0872 | -2.0916 | 0.1400 | 2.0044 | -36.1798 | -10.2553 | -1.2434 | -1.2402 |
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- | 0.5545 | 2.4048 | 600 | 0.5961 | -0.0893 | -2.0984 | 0.1400 | 2.0091 | -36.2481 | -10.2761 | -1.2448 | -1.2416 |
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- | 0.5199 | 2.6052 | 650 | 0.5961 | -0.0881 | -2.0960 | 0.1400 | 2.0078 | -36.2235 | -10.2642 | -1.2437 | -1.2405 |
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- | 0.6238 | 2.8056 | 700 | 0.5961 | -0.0891 | -2.1004 | 0.1400 | 2.0113 | -36.2677 | -10.2740 | -1.2450 | -1.2417 |
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- | 0.6065 | 3.0060 | 750 | 0.5961 | -0.0879 | -2.0983 | 0.1400 | 2.0104 | -36.2469 | -10.2615 | -1.2456 | -1.2423 |
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- | 0.6412 | 3.2064 | 800 | 0.5961 | -0.0900 | -2.1003 | 0.1400 | 2.0103 | -36.2667 | -10.2828 | -1.2448 | -1.2416 |
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- | 0.6585 | 3.4068 | 850 | 0.5961 | -0.0875 | -2.0997 | 0.1400 | 2.0122 | -36.2604 | -10.2578 | -1.2456 | -1.2424 |
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- | 0.6238 | 3.6072 | 900 | 0.5961 | -0.0879 | -2.0992 | 0.1400 | 2.0114 | -36.2559 | -10.2613 | -1.2445 | -1.2413 |
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- | 0.5372 | 3.8076 | 950 | 0.5961 | -0.0884 | -2.0981 | 0.1400 | 2.0097 | -36.2444 | -10.2669 | -1.2444 | -1.2412 |
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- | 0.6238 | 4.0080 | 1000 | 0.5961 | -0.0885 | -2.0984 | 0.1400 | 2.0099 | -36.2478 | -10.2675 | -1.2445 | -1.2412 |
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  ### Framework versions
 
18
  This model is a fine-tuned version of [tsavage68/Summary_L3_1000steps_1e7rate_SFT2](https://huggingface.co/tsavage68/Summary_L3_1000steps_1e7rate_SFT2) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
  - Loss: 0.5961
21
+ - Rewards/chosen: 0.0294
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+ - Rewards/rejected: -2.5656
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  - Rewards/accuracies: 0.1400
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+ - Rewards/margins: 2.5950
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+ - Logps/rejected: -23.8158
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+ - Logps/chosen: -9.2849
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+ - Logits/rejected: -1.1435
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+ - Logits/chosen: -1.1436
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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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+ | 0.5553 | 0.2004 | 50 | 0.5962 | 0.0778 | -1.2696 | 0.1400 | 1.3473 | -19.4956 | -9.1236 | -1.1038 | -1.1053 |
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+ | 0.6585 | 0.4008 | 100 | 0.5962 | 0.0854 | -1.4439 | 0.1400 | 1.5292 | -20.0766 | -9.0982 | -1.1078 | -1.1092 |
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+ | 0.6238 | 0.6012 | 150 | 0.5961 | 0.0687 | -2.1556 | 0.1400 | 2.2243 | -22.4490 | -9.1538 | -1.1298 | -1.1306 |
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+ | 0.6065 | 0.8016 | 200 | 0.5961 | 0.0322 | -2.5726 | 0.1400 | 2.6048 | -23.8390 | -9.2754 | -1.1437 | -1.1438 |
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+ | 0.6238 | 1.0020 | 250 | 0.5961 | 0.0294 | -2.5678 | 0.1400 | 2.5971 | -23.8230 | -9.2849 | -1.1438 | -1.1440 |
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+ | 0.6238 | 1.2024 | 300 | 0.5961 | 0.0279 | -2.5674 | 0.1400 | 2.5953 | -23.8219 | -9.2899 | -1.1439 | -1.1440 |
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+ | 0.6238 | 1.4028 | 350 | 0.5961 | 0.0304 | -2.5648 | 0.1400 | 2.5952 | -23.8131 | -9.2814 | -1.1438 | -1.1439 |
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+ | 0.5718 | 1.6032 | 400 | 0.5961 | 0.0304 | -2.5648 | 0.1400 | 2.5952 | -23.8131 | -9.2814 | -1.1438 | -1.1439 |
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+ | 0.5892 | 1.8036 | 450 | 0.5961 | 0.0338 | -2.5715 | 0.1400 | 2.6052 | -23.8353 | -9.2702 | -1.1435 | -1.1436 |
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+ | 0.5718 | 2.0040 | 500 | 0.5961 | 0.0279 | -2.5720 | 0.1400 | 2.5999 | -23.8372 | -9.2897 | -1.1434 | -1.1435 |
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+ | 0.5718 | 2.2044 | 550 | 0.5961 | 0.0266 | -2.5750 | 0.1400 | 2.6016 | -23.8472 | -9.2942 | -1.1438 | -1.1440 |
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+ | 0.5545 | 2.4048 | 600 | 0.5961 | 0.0271 | -2.5761 | 0.1400 | 2.6032 | -23.8507 | -9.2925 | -1.1438 | -1.1440 |
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+ | 0.5199 | 2.6052 | 650 | 0.5961 | 0.0271 | -2.5761 | 0.1400 | 2.6032 | -23.8507 | -9.2925 | -1.1438 | -1.1440 |
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+ | 0.6238 | 2.8056 | 700 | 0.5961 | 0.0270 | -2.5764 | 0.1400 | 2.6035 | -23.8519 | -9.2928 | -1.1438 | -1.1440 |
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+ | 0.6065 | 3.0060 | 750 | 0.5961 | 0.0315 | -2.5674 | 0.1400 | 2.5989 | -23.8216 | -9.2777 | -1.1434 | -1.1436 |
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+ | 0.6412 | 3.2064 | 800 | 0.5961 | 0.0276 | -2.5662 | 0.1400 | 2.5937 | -23.8176 | -9.2909 | -1.1434 | -1.1436 |
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+ | 0.6585 | 3.4068 | 850 | 0.5961 | 0.0277 | -2.5666 | 0.1400 | 2.5943 | -23.8191 | -9.2903 | -1.1434 | -1.1436 |
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+ | 0.6238 | 3.6072 | 900 | 0.5961 | 0.0281 | -2.5670 | 0.1400 | 2.5952 | -23.8205 | -9.2891 | -1.1434 | -1.1436 |
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+ | 0.5372 | 3.8076 | 950 | 0.5961 | 0.0310 | -2.5656 | 0.1400 | 2.5966 | -23.8159 | -9.2795 | -1.1435 | -1.1436 |
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+ | 0.6238 | 4.0080 | 1000 | 0.5961 | 0.0294 | -2.5656 | 0.1400 | 2.5950 | -23.8158 | -9.2849 | -1.1435 | -1.1436 |
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  ### Framework versions
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