--- license: apache-2.0 base_model: GanjinZero/biobart-v2-base tags: - generated_from_trainer metrics: - rouge model-index: - name: fine-tuned-2048-inputs-30-epochs results: [] --- # fine-tuned-2048-inputs-30-epochs This model is a fine-tuned version of [GanjinZero/biobart-v2-base](https://huggingface.co/GanjinZero/biobart-v2-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.8273 - Rouge1: 0.2909 - Rouge2: 0.117 - Rougel: 0.2667 - Rougelsum: 0.2666 - Gen Len: 15.53 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 30 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | No log | 1.0 | 151 | 0.7529 | 0.2073 | 0.0784 | 0.1893 | 0.1893 | 13.16 | | No log | 2.0 | 302 | 0.7144 | 0.2569 | 0.0828 | 0.2249 | 0.2262 | 13.76 | | No log | 3.0 | 453 | 0.6993 | 0.2397 | 0.0787 | 0.2138 | 0.2143 | 14.52 | | 0.7226 | 4.0 | 604 | 0.6957 | 0.2857 | 0.1014 | 0.2603 | 0.2619 | 14.27 | | 0.7226 | 5.0 | 755 | 0.7037 | 0.2906 | 0.1168 | 0.2653 | 0.268 | 14.73 | | 0.7226 | 6.0 | 906 | 0.6971 | 0.2753 | 0.1126 | 0.2512 | 0.2512 | 14.92 | | 0.4948 | 7.0 | 1057 | 0.7117 | 0.2806 | 0.1139 | 0.2546 | 0.2539 | 14.93 | | 0.4948 | 8.0 | 1208 | 0.7185 | 0.2931 | 0.1188 | 0.2667 | 0.2685 | 14.45 | | 0.4948 | 9.0 | 1359 | 0.7250 | 0.3007 | 0.1106 | 0.2736 | 0.2755 | 14.76 | | 0.368 | 10.0 | 1510 | 0.7343 | 0.3157 | 0.126 | 0.2908 | 0.2904 | 14.67 | | 0.368 | 11.0 | 1661 | 0.7418 | 0.3045 | 0.1194 | 0.2758 | 0.2757 | 15.23 | | 0.368 | 12.0 | 1812 | 0.7521 | 0.2981 | 0.113 | 0.2745 | 0.275 | 14.91 | | 0.368 | 13.0 | 1963 | 0.7556 | 0.2902 | 0.1142 | 0.2695 | 0.2712 | 15.01 | | 0.2865 | 14.0 | 2114 | 0.7636 | 0.3145 | 0.1238 | 0.2936 | 0.295 | 15.44 | | 0.2865 | 15.0 | 2265 | 0.7722 | 0.2965 | 0.1102 | 0.2684 | 0.2704 | 14.93 | | 0.2865 | 16.0 | 2416 | 0.7788 | 0.3015 | 0.1087 | 0.2737 | 0.2751 | 15.29 | | 0.2221 | 17.0 | 2567 | 0.7834 | 0.2957 | 0.1127 | 0.2691 | 0.2688 | 15.11 | | 0.2221 | 18.0 | 2718 | 0.7905 | 0.292 | 0.1136 | 0.2595 | 0.2596 | 15.1 | | 0.2221 | 19.0 | 2869 | 0.7945 | 0.2903 | 0.1027 | 0.2626 | 0.263 | 15.5 | | 0.1825 | 20.0 | 3020 | 0.8033 | 0.3146 | 0.1226 | 0.2826 | 0.2839 | 15.54 | | 0.1825 | 21.0 | 3171 | 0.8009 | 0.3027 | 0.114 | 0.2742 | 0.2749 | 15.69 | | 0.1825 | 22.0 | 3322 | 0.8085 | 0.2951 | 0.1132 | 0.2616 | 0.2624 | 15.37 | | 0.1825 | 23.0 | 3473 | 0.8120 | 0.3045 | 0.1182 | 0.2733 | 0.2749 | 15.48 | | 0.1498 | 24.0 | 3624 | 0.8163 | 0.3015 | 0.111 | 0.2723 | 0.2738 | 15.47 | | 0.1498 | 25.0 | 3775 | 0.8197 | 0.3054 | 0.1144 | 0.2785 | 0.2778 | 15.51 | | 0.1498 | 26.0 | 3926 | 0.8212 | 0.2987 | 0.1199 | 0.2723 | 0.2709 | 15.59 | | 0.1329 | 27.0 | 4077 | 0.8230 | 0.3025 | 0.1154 | 0.2751 | 0.2756 | 15.5 | | 0.1329 | 28.0 | 4228 | 0.8250 | 0.2845 | 0.1108 | 0.2599 | 0.2608 | 15.49 | | 0.1329 | 29.0 | 4379 | 0.8275 | 0.3002 | 0.1102 | 0.2745 | 0.2753 | 15.57 | | 0.1226 | 30.0 | 4530 | 0.8273 | 0.2909 | 0.117 | 0.2667 | 0.2666 | 15.53 | ### Framework versions - Transformers 4.36.2 - Pytorch 1.12.1+cu113 - Datasets 2.15.0 - Tokenizers 0.15.0