Handbook v0.1 models and datasets
Collection
Models and datasets for v0.1 of the alignment handbook
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6 items
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Updated
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23
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-qlora on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
---|---|---|---|---|---|---|---|---|---|---|---|
0.6812 | 0.1 | 100 | 0.6787 | 0.0452 | 0.0120 | 0.6992 | 0.0332 | -250.5929 | -245.6322 | -2.1942 | -2.2517 |
0.6066 | 0.21 | 200 | 0.6151 | -0.2303 | -0.5020 | 0.6992 | 0.2717 | -301.9975 | -273.1855 | -1.9906 | -2.0610 |
0.5711 | 0.31 | 300 | 0.5927 | -0.4441 | -0.8513 | 0.7188 | 0.4072 | -336.9228 | -294.5666 | -1.9417 | -2.0223 |
0.557 | 0.42 | 400 | 0.5817 | -0.5958 | -1.0732 | 0.7227 | 0.4773 | -359.1117 | -309.7378 | -1.7434 | -1.8364 |
0.5703 | 0.52 | 500 | 0.5679 | -0.7215 | -1.2405 | 0.7266 | 0.5189 | -375.8402 | -322.3068 | -0.8467 | -0.9967 |
0.5498 | 0.63 | 600 | 0.5582 | -0.7003 | -1.2848 | 0.7578 | 0.5845 | -380.2699 | -320.1794 | -0.2510 | -0.4463 |
0.5279 | 0.73 | 700 | 0.5490 | -0.8400 | -1.4901 | 0.75 | 0.6501 | -400.8082 | -334.1553 | 0.0145 | -0.1988 |
0.5264 | 0.84 | 800 | 0.5475 | -0.8613 | -1.5228 | 0.7461 | 0.6615 | -404.0751 | -336.2833 | 0.0604 | -0.1549 |
0.5639 | 0.94 | 900 | 0.5475 | -0.8628 | -1.5267 | 0.7422 | 0.6639 | -404.4688 | -336.4348 | 0.0704 | -0.1466 |
Base model
mistralai/Mistral-7B-v0.1