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Model save

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  1. README.md +17 -17
  2. all_results.json +4 -4
  3. train_results.json +4 -4
  4. trainer_state.json +526 -526
README.md CHANGED
@@ -17,15 +17,15 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.5142
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- - Rewards/chosen: -1.9575
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- - Rewards/rejected: -3.2488
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- - Rewards/accuracies: 0.7198
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- - Rewards/margins: 1.2913
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- - Logps/rejected: -573.1553
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- - Logps/chosen: -455.7142
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- - Logits/rejected: 4.0394
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- - Logits/chosen: 3.0591
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  ## Model description
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@@ -62,14 +62,14 @@ 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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- | 0.6718 | 0.1143 | 50 | 0.6623 | -0.0203 | -0.1341 | 0.6595 | 0.1139 | -261.6897 | -261.9885 | -2.5701 | -2.6137 |
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- | 0.5837 | 0.2286 | 100 | 0.5855 | -0.7924 | -1.5143 | 0.6595 | 0.7219 | -399.7070 | -339.2018 | -0.2076 | -0.5772 |
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- | 0.5481 | 0.3429 | 150 | 0.5498 | -1.3440 | -2.2915 | 0.6940 | 0.9475 | -477.4253 | -394.3634 | 2.4336 | 1.6485 |
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- | 0.5289 | 0.4571 | 200 | 0.5409 | -1.6426 | -2.7545 | 0.6983 | 1.1119 | -523.7253 | -424.2230 | 3.5667 | 2.6372 |
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- | 0.54 | 0.5714 | 250 | 0.5280 | -1.5391 | -2.7058 | 0.7026 | 1.1667 | -518.8563 | -413.8667 | 2.6437 | 1.4166 |
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- | 0.5147 | 0.6857 | 300 | 0.5204 | -1.8487 | -3.0990 | 0.7112 | 1.2504 | -558.1808 | -444.8300 | 3.7771 | 2.6969 |
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- | 0.5033 | 0.8 | 350 | 0.5168 | -1.8756 | -3.1461 | 0.7414 | 1.2705 | -562.8871 | -447.5259 | 3.8637 | 2.7948 |
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- | 0.52 | 0.9143 | 400 | 0.5142 | -1.9575 | -3.2488 | 0.7198 | 1.2913 | -573.1553 | -455.7142 | 4.0394 | 3.0591 |
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  ### Framework versions
 
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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: 0.5286
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+ - Rewards/chosen: -1.4143
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+ - Rewards/rejected: -2.7417
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+ - Rewards/accuracies: 0.7629
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+ - Rewards/margins: 1.3275
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+ - Logps/rejected: -493.2510
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+ - Logps/chosen: -417.0316
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+ - Logits/rejected: 1.9856
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+ - Logits/chosen: 0.4911
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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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+ | 0.6696 | 0.1143 | 50 | 0.6584 | -0.0084 | -0.1643 | 0.6853 | 0.1559 | -235.5072 | -276.4426 | -2.4382 | -2.5406 |
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+ | 0.6122 | 0.2286 | 100 | 0.6111 | -0.4070 | -0.8953 | 0.6767 | 0.4883 | -308.6058 | -316.3019 | -2.5533 | -2.6512 |
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+ | 0.5476 | 0.3429 | 150 | 0.5583 | -1.3343 | -2.3426 | 0.7371 | 1.0083 | -453.3369 | -409.0355 | 0.9770 | 0.1441 |
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+ | 0.5582 | 0.4571 | 200 | 0.5499 | -1.0345 | -2.1424 | 0.7328 | 1.1079 | -433.3173 | -379.0511 | 0.5624 | -0.4976 |
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+ | 0.5503 | 0.5714 | 250 | 0.5393 | -1.1701 | -2.3108 | 0.7371 | 1.1406 | -450.1522 | -392.6152 | 0.7719 | -0.3725 |
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+ | 0.5224 | 0.6857 | 300 | 0.5312 | -1.2228 | -2.5102 | 0.7543 | 1.2874 | -470.0949 | -397.8840 | 1.7088 | 0.1892 |
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+ | 0.5396 | 0.8 | 350 | 0.5290 | -1.4462 | -2.7485 | 0.75 | 1.3024 | -493.9275 | -420.2202 | 1.9215 | 0.4365 |
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+ | 0.55 | 0.9143 | 400 | 0.5286 | -1.4143 | -2.7417 | 0.7629 | 1.3275 | -493.2510 | -417.0316 | 1.9856 | 0.4911 |
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  ### Framework versions
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