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tanatapanun
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fine-tuned-2048-inputs-30-epochs

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  1. README.md +34 -34
  2. model.safetensors +1 -1
  3. runs/Dec27_00-49-53_william-gpu-3090-10-rxldr/events.out.tfevents.1703638196.william-gpu-3090-10-rxldr.48922.0 +2 -2
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [GanjinZero/biobart-v2-base](https://huggingface.co/GanjinZero/biobart-v2-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.8273
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- - Rouge1: 0.2933
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- - Rouge2: 0.1173
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- - Rougel: 0.2662
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- - Rougelsum: 0.2653
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  - Gen Len: 15.53
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  ## Model description
@@ -53,36 +53,36 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 151 | 0.7529 | 0.2082 | 0.0781 | 0.1878 | 0.1884 | 13.16 |
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- | No log | 2.0 | 302 | 0.7144 | 0.2589 | 0.0817 | 0.2239 | 0.2244 | 13.76 |
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- | No log | 3.0 | 453 | 0.6993 | 0.2409 | 0.0773 | 0.2135 | 0.2136 | 14.52 |
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- | 0.7226 | 4.0 | 604 | 0.6957 | 0.2891 | 0.1014 | 0.262 | 0.2618 | 14.27 |
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- | 0.7226 | 5.0 | 755 | 0.7037 | 0.2925 | 0.1167 | 0.2656 | 0.267 | 14.73 |
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- | 0.7226 | 6.0 | 906 | 0.6971 | 0.2778 | 0.1124 | 0.2511 | 0.2501 | 14.92 |
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- | 0.4948 | 7.0 | 1057 | 0.7117 | 0.2816 | 0.1139 | 0.2558 | 0.2553 | 14.93 |
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- | 0.4948 | 8.0 | 1208 | 0.7185 | 0.2948 | 0.1192 | 0.2683 | 0.2679 | 14.45 |
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- | 0.4948 | 9.0 | 1359 | 0.7250 | 0.3039 | 0.1108 | 0.2748 | 0.2738 | 14.76 |
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- | 0.368 | 10.0 | 1510 | 0.7343 | 0.3187 | 0.1267 | 0.2921 | 0.2919 | 14.67 |
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- | 0.368 | 11.0 | 1661 | 0.7418 | 0.3067 | 0.1205 | 0.278 | 0.2772 | 15.23 |
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- | 0.368 | 12.0 | 1812 | 0.7521 | 0.3023 | 0.1134 | 0.2764 | 0.2756 | 14.91 |
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- | 0.368 | 13.0 | 1963 | 0.7556 | 0.2945 | 0.1143 | 0.272 | 0.2713 | 15.01 |
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- | 0.2865 | 14.0 | 2114 | 0.7636 | 0.3163 | 0.1246 | 0.2943 | 0.2942 | 15.44 |
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- | 0.2865 | 15.0 | 2265 | 0.7722 | 0.2987 | 0.1105 | 0.2705 | 0.2703 | 14.93 |
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- | 0.2865 | 16.0 | 2416 | 0.7788 | 0.3047 | 0.1091 | 0.2745 | 0.2744 | 15.29 |
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- | 0.2221 | 17.0 | 2567 | 0.7834 | 0.2973 | 0.113 | 0.2698 | 0.269 | 15.11 |
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- | 0.2221 | 18.0 | 2718 | 0.7905 | 0.2933 | 0.1139 | 0.2612 | 0.2595 | 15.1 |
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- | 0.2221 | 19.0 | 2869 | 0.7945 | 0.2936 | 0.1036 | 0.2637 | 0.2624 | 15.5 |
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- | 0.1825 | 20.0 | 3020 | 0.8033 | 0.3167 | 0.1216 | 0.2839 | 0.2837 | 15.54 |
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- | 0.1825 | 21.0 | 3171 | 0.8009 | 0.3056 | 0.1139 | 0.2753 | 0.2747 | 15.69 |
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- | 0.1825 | 22.0 | 3322 | 0.8085 | 0.2974 | 0.113 | 0.2632 | 0.2621 | 15.37 |
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- | 0.1825 | 23.0 | 3473 | 0.8120 | 0.3063 | 0.1191 | 0.2746 | 0.2749 | 15.48 |
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- | 0.1498 | 24.0 | 3624 | 0.8163 | 0.3045 | 0.1114 | 0.2736 | 0.2724 | 15.47 |
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- | 0.1498 | 25.0 | 3775 | 0.8197 | 0.3091 | 0.1147 | 0.2789 | 0.2788 | 15.51 |
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- | 0.1498 | 26.0 | 3926 | 0.8212 | 0.3003 | 0.1211 | 0.2715 | 0.2718 | 15.59 |
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- | 0.1329 | 27.0 | 4077 | 0.8230 | 0.3046 | 0.1158 | 0.2751 | 0.275 | 15.5 |
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- | 0.1329 | 28.0 | 4228 | 0.8250 | 0.2871 | 0.1118 | 0.2614 | 0.2599 | 15.49 |
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- | 0.1329 | 29.0 | 4379 | 0.8275 | 0.303 | 0.1109 | 0.2734 | 0.2737 | 15.57 |
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- | 0.1226 | 30.0 | 4530 | 0.8273 | 0.2933 | 0.1173 | 0.2662 | 0.2653 | 15.53 |
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  ### Framework versions
 
18
  This model is a fine-tuned version of [GanjinZero/biobart-v2-base](https://huggingface.co/GanjinZero/biobart-v2-base) on the None dataset.
19
  It achieves the following results on the evaluation set:
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  - Loss: 0.8273
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+ - Rouge1: 0.2909
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+ - Rouge2: 0.117
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+ - Rougel: 0.2667
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+ - Rougelsum: 0.2666
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  - Gen Len: 15.53
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 151 | 0.7529 | 0.2073 | 0.0784 | 0.1893 | 0.1893 | 13.16 |
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+ | No log | 2.0 | 302 | 0.7144 | 0.2569 | 0.0828 | 0.2249 | 0.2262 | 13.76 |
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+ | No log | 3.0 | 453 | 0.6993 | 0.2397 | 0.0787 | 0.2138 | 0.2143 | 14.52 |
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+ | 0.7226 | 4.0 | 604 | 0.6957 | 0.2857 | 0.1014 | 0.2603 | 0.2619 | 14.27 |
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+ | 0.7226 | 5.0 | 755 | 0.7037 | 0.2906 | 0.1168 | 0.2653 | 0.268 | 14.73 |
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+ | 0.7226 | 6.0 | 906 | 0.6971 | 0.2753 | 0.1126 | 0.2512 | 0.2512 | 14.92 |
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+ | 0.4948 | 7.0 | 1057 | 0.7117 | 0.2806 | 0.1139 | 0.2546 | 0.2539 | 14.93 |
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+ | 0.4948 | 8.0 | 1208 | 0.7185 | 0.2931 | 0.1188 | 0.2667 | 0.2685 | 14.45 |
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+ | 0.4948 | 9.0 | 1359 | 0.7250 | 0.3007 | 0.1106 | 0.2736 | 0.2755 | 14.76 |
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+ | 0.368 | 10.0 | 1510 | 0.7343 | 0.3157 | 0.126 | 0.2908 | 0.2904 | 14.67 |
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+ | 0.368 | 11.0 | 1661 | 0.7418 | 0.3045 | 0.1194 | 0.2758 | 0.2757 | 15.23 |
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+ | 0.368 | 12.0 | 1812 | 0.7521 | 0.2981 | 0.113 | 0.2745 | 0.275 | 14.91 |
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+ | 0.368 | 13.0 | 1963 | 0.7556 | 0.2902 | 0.1142 | 0.2695 | 0.2712 | 15.01 |
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+ | 0.2865 | 14.0 | 2114 | 0.7636 | 0.3145 | 0.1238 | 0.2936 | 0.295 | 15.44 |
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+ | 0.2865 | 15.0 | 2265 | 0.7722 | 0.2965 | 0.1102 | 0.2684 | 0.2704 | 14.93 |
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+ | 0.2865 | 16.0 | 2416 | 0.7788 | 0.3015 | 0.1087 | 0.2737 | 0.2751 | 15.29 |
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+ | 0.2221 | 17.0 | 2567 | 0.7834 | 0.2957 | 0.1127 | 0.2691 | 0.2688 | 15.11 |
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+ | 0.2221 | 18.0 | 2718 | 0.7905 | 0.292 | 0.1136 | 0.2595 | 0.2596 | 15.1 |
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+ | 0.2221 | 19.0 | 2869 | 0.7945 | 0.2903 | 0.1027 | 0.2626 | 0.263 | 15.5 |
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+ | 0.1825 | 20.0 | 3020 | 0.8033 | 0.3146 | 0.1226 | 0.2826 | 0.2839 | 15.54 |
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+ | 0.1825 | 21.0 | 3171 | 0.8009 | 0.3027 | 0.114 | 0.2742 | 0.2749 | 15.69 |
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+ | 0.1825 | 22.0 | 3322 | 0.8085 | 0.2951 | 0.1132 | 0.2616 | 0.2624 | 15.37 |
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+ | 0.1825 | 23.0 | 3473 | 0.8120 | 0.3045 | 0.1182 | 0.2733 | 0.2749 | 15.48 |
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+ | 0.1498 | 24.0 | 3624 | 0.8163 | 0.3015 | 0.111 | 0.2723 | 0.2738 | 15.47 |
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+ | 0.1498 | 25.0 | 3775 | 0.8197 | 0.3054 | 0.1144 | 0.2785 | 0.2778 | 15.51 |
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+ | 0.1498 | 26.0 | 3926 | 0.8212 | 0.2987 | 0.1199 | 0.2723 | 0.2709 | 15.59 |
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+ | 0.1329 | 27.0 | 4077 | 0.8230 | 0.3025 | 0.1154 | 0.2751 | 0.2756 | 15.5 |
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+ | 0.1329 | 28.0 | 4228 | 0.8250 | 0.2845 | 0.1108 | 0.2599 | 0.2608 | 15.49 |
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+ | 0.1329 | 29.0 | 4379 | 0.8275 | 0.3002 | 0.1102 | 0.2745 | 0.2753 | 15.57 |
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+ | 0.1226 | 30.0 | 4530 | 0.8273 | 0.2909 | 0.117 | 0.2667 | 0.2666 | 15.53 |
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  ### Framework versions
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