my_model
This model is a fine-tuned version of GanjinZero/biobart-v2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8150
- Rouge1: 0.3094
- Rouge2: 0.127
- Rougel: 0.2872
- Rougelsum: 0.2875
- Gen Len: 15.49
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 | 0.7399 | 0.2645 | 0.0955 | 0.2335 | 0.2333 | 14.82 |
No log | 2.0 | 302 | 0.6992 | 0.2218 | 0.0735 | 0.1903 | 0.1897 | 13.26 |
No log | 3.0 | 453 | 0.6809 | 0.2555 | 0.093 | 0.231 | 0.2317 | 13.99 |
0.7206 | 4.0 | 604 | 0.6811 | 0.2785 | 0.1111 | 0.2494 | 0.25 | 14.09 |
0.7206 | 5.0 | 755 | 0.6812 | 0.2806 | 0.1024 | 0.2519 | 0.2526 | 14.4 |
0.7206 | 6.0 | 906 | 0.6853 | 0.2803 | 0.1023 | 0.2548 | 0.2553 | 14.24 |
0.5025 | 7.0 | 1057 | 0.6963 | 0.2501 | 0.0894 | 0.2279 | 0.2296 | 14.04 |
0.5025 | 8.0 | 1208 | 0.6970 | 0.2709 | 0.1012 | 0.2445 | 0.2448 | 14.68 |
0.5025 | 9.0 | 1359 | 0.7107 | 0.2898 | 0.1024 | 0.2604 | 0.2604 | 14.62 |
0.3683 | 10.0 | 1510 | 0.7172 | 0.2955 | 0.1132 | 0.2668 | 0.2677 | 15.04 |
0.3683 | 11.0 | 1661 | 0.7243 | 0.3225 | 0.1294 | 0.289 | 0.2914 | 14.87 |
0.3683 | 12.0 | 1812 | 0.7329 | 0.312 | 0.1295 | 0.2838 | 0.2867 | 15.11 |
0.3683 | 13.0 | 1963 | 0.7364 | 0.3332 | 0.1277 | 0.2981 | 0.3001 | 15.3 |
0.2807 | 14.0 | 2114 | 0.7480 | 0.3584 | 0.1608 | 0.3257 | 0.3267 | 15.16 |
0.2807 | 15.0 | 2265 | 0.7609 | 0.3138 | 0.1177 | 0.2868 | 0.2876 | 15.19 |
0.2807 | 16.0 | 2416 | 0.7648 | 0.3083 | 0.1195 | 0.2767 | 0.279 | 15.02 |
0.2214 | 17.0 | 2567 | 0.7689 | 0.3088 | 0.1252 | 0.2798 | 0.2816 | 15.42 |
0.2214 | 18.0 | 2718 | 0.7761 | 0.3071 | 0.1229 | 0.2815 | 0.2831 | 15.31 |
0.2214 | 19.0 | 2869 | 0.7787 | 0.3129 | 0.1215 | 0.2839 | 0.2846 | 15.13 |
0.182 | 20.0 | 3020 | 0.7871 | 0.3291 | 0.1265 | 0.2992 | 0.301 | 15.3 |
0.182 | 21.0 | 3171 | 0.7863 | 0.299 | 0.1085 | 0.2704 | 0.2722 | 15.32 |
0.182 | 22.0 | 3322 | 0.7959 | 0.3181 | 0.1185 | 0.2883 | 0.2902 | 15.23 |
0.182 | 23.0 | 3473 | 0.8026 | 0.3352 | 0.1255 | 0.3043 | 0.3049 | 15.45 |
0.153 | 24.0 | 3624 | 0.8031 | 0.3232 | 0.1338 | 0.2934 | 0.293 | 15.43 |
0.153 | 25.0 | 3775 | 0.8103 | 0.2997 | 0.1231 | 0.2745 | 0.276 | 15.5 |
0.153 | 26.0 | 3926 | 0.8122 | 0.3057 | 0.1188 | 0.2813 | 0.2824 | 15.4 |
0.1312 | 27.0 | 4077 | 0.8131 | 0.3151 | 0.1271 | 0.2895 | 0.2907 | 15.46 |
0.1312 | 28.0 | 4228 | 0.8155 | 0.3089 | 0.1266 | 0.2868 | 0.2878 | 15.5 |
0.1312 | 29.0 | 4379 | 0.8152 | 0.3154 | 0.1277 | 0.2909 | 0.2908 | 15.46 |
0.1217 | 30.0 | 4530 | 0.8150 | 0.3094 | 0.127 | 0.2872 | 0.2875 | 15.49 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.12.1+cu113
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for tanatapanun/biobart-MTS-30-epochs
Base model
GanjinZero/biobart-v2-base