File size: 14,122 Bytes
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library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: billsum_summarize_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# billsum_summarize_model
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4871
- Rouge1: 0.1521
- Rouge2: 0.0529
- Rougel: 0.1241
- Rougelsum: 0.1239
- Gen Len: 20.0
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 4.7238 | 0.0323 | 2 | 4.5056 | 0.1445 | 0.0494 | 0.1206 | 0.1207 | 20.0 |
| 4.7833 | 0.0645 | 4 | 4.3907 | 0.1452 | 0.0493 | 0.1213 | 0.1215 | 20.0 |
| 4.7564 | 0.0968 | 6 | 4.1875 | 0.1437 | 0.0478 | 0.1198 | 0.1198 | 20.0 |
| 4.6334 | 0.1290 | 8 | 4.0478 | 0.1445 | 0.048 | 0.1198 | 0.1199 | 20.0 |
| 4.4535 | 0.1613 | 10 | 3.9208 | 0.1452 | 0.048 | 0.1204 | 0.1204 | 20.0 |
| 4.0209 | 0.1935 | 12 | 3.7073 | 0.1459 | 0.0484 | 0.121 | 0.1209 | 20.0 |
| 3.7674 | 0.2258 | 14 | 3.5904 | 0.1437 | 0.0474 | 0.1198 | 0.1198 | 20.0 |
| 4.0694 | 0.2581 | 16 | 3.4991 | 0.1419 | 0.0456 | 0.1179 | 0.1179 | 20.0 |
| 3.695 | 0.2903 | 18 | 3.4001 | 0.1412 | 0.0447 | 0.1175 | 0.1174 | 20.0 |
| 3.5436 | 0.3226 | 20 | 3.3312 | 0.1416 | 0.0453 | 0.1177 | 0.1176 | 20.0 |
| 3.5757 | 0.3548 | 22 | 3.2724 | 0.1402 | 0.0445 | 0.1161 | 0.116 | 20.0 |
| 3.6838 | 0.3871 | 24 | 3.2079 | 0.1397 | 0.0434 | 0.1156 | 0.1155 | 20.0 |
| 3.7529 | 0.4194 | 26 | 3.1602 | 0.139 | 0.0424 | 0.1152 | 0.1152 | 20.0 |
| 3.4468 | 0.4516 | 28 | 3.1223 | 0.1383 | 0.0418 | 0.1149 | 0.1147 | 20.0 |
| 3.4188 | 0.4839 | 30 | 3.0881 | 0.1378 | 0.0418 | 0.1144 | 0.1142 | 20.0 |
| 3.2276 | 0.5161 | 32 | 3.0553 | 0.1372 | 0.0412 | 0.1138 | 0.1136 | 20.0 |
| 3.1193 | 0.5484 | 34 | 3.0277 | 0.1377 | 0.0421 | 0.1142 | 0.114 | 20.0 |
| 3.2673 | 0.5806 | 36 | 3.0018 | 0.1357 | 0.0405 | 0.1122 | 0.112 | 20.0 |
| 3.1799 | 0.6129 | 38 | 2.9748 | 0.1354 | 0.04 | 0.1115 | 0.1113 | 20.0 |
| 3.3082 | 0.6452 | 40 | 2.9513 | 0.1343 | 0.0402 | 0.1112 | 0.111 | 20.0 |
| 3.2299 | 0.6774 | 42 | 2.9296 | 0.1333 | 0.0393 | 0.1103 | 0.1102 | 20.0 |
| 3.0226 | 0.7097 | 44 | 2.9087 | 0.1328 | 0.0391 | 0.1101 | 0.11 | 20.0 |
| 3.1423 | 0.7419 | 46 | 2.8889 | 0.1329 | 0.0393 | 0.1102 | 0.1101 | 20.0 |
| 3.0891 | 0.7742 | 48 | 2.8701 | 0.1332 | 0.0398 | 0.1106 | 0.1105 | 20.0 |
| 3.2401 | 0.8065 | 50 | 2.8527 | 0.1328 | 0.0396 | 0.1103 | 0.1103 | 20.0 |
| 3.0209 | 0.8387 | 52 | 2.8360 | 0.1336 | 0.0405 | 0.1115 | 0.1114 | 20.0 |
| 3.0974 | 0.8710 | 54 | 2.8203 | 0.1331 | 0.0393 | 0.1108 | 0.1108 | 20.0 |
| 2.9769 | 0.9032 | 56 | 2.8057 | 0.132 | 0.0392 | 0.1101 | 0.1101 | 20.0 |
| 3.0385 | 0.9355 | 58 | 2.7920 | 0.131 | 0.0381 | 0.1091 | 0.109 | 20.0 |
| 3.2244 | 0.9677 | 60 | 2.7792 | 0.129 | 0.0368 | 0.1075 | 0.1075 | 20.0 |
| 2.9593 | 1.0 | 62 | 2.7729 | 0.1284 | 0.0363 | 0.1071 | 0.1071 | 20.0 |
| 2.9742 | 1.0323 | 64 | 2.7607 | 0.1295 | 0.0369 | 0.1077 | 0.1077 | 20.0 |
| 2.8829 | 1.0645 | 66 | 2.7494 | 0.1291 | 0.0366 | 0.107 | 0.1068 | 20.0 |
| 2.914 | 1.0968 | 68 | 2.7385 | 0.1297 | 0.0374 | 0.1079 | 0.1077 | 20.0 |
| 3.1647 | 1.1290 | 70 | 2.7280 | 0.1305 | 0.0381 | 0.1081 | 0.1081 | 20.0 |
| 3.0356 | 1.1613 | 72 | 2.7181 | 0.131 | 0.0391 | 0.1083 | 0.1082 | 20.0 |
| 3.0923 | 1.1935 | 74 | 2.7084 | 0.132 | 0.04 | 0.1092 | 0.1092 | 20.0 |
| 3.0 | 1.2258 | 76 | 2.6991 | 0.1333 | 0.0405 | 0.1101 | 0.1101 | 20.0 |
| 2.7403 | 1.2581 | 78 | 2.6904 | 0.1335 | 0.0402 | 0.1098 | 0.1098 | 20.0 |
| 3.0324 | 1.2903 | 80 | 2.6819 | 0.1334 | 0.041 | 0.11 | 0.11 | 20.0 |
| 3.1273 | 1.3226 | 82 | 2.6736 | 0.1329 | 0.041 | 0.1097 | 0.1096 | 20.0 |
| 2.9799 | 1.3548 | 84 | 2.6655 | 0.1329 | 0.0416 | 0.1097 | 0.1096 | 20.0 |
| 2.8665 | 1.3871 | 86 | 2.6578 | 0.1342 | 0.0418 | 0.1105 | 0.1104 | 20.0 |
| 2.9902 | 1.4194 | 88 | 2.6505 | 0.135 | 0.042 | 0.1109 | 0.1109 | 20.0 |
| 2.9665 | 1.4516 | 90 | 2.6436 | 0.135 | 0.0416 | 0.1111 | 0.111 | 20.0 |
| 3.056 | 1.4839 | 92 | 2.6369 | 0.1353 | 0.0422 | 0.1111 | 0.1111 | 20.0 |
| 2.7685 | 1.5161 | 94 | 2.6306 | 0.1358 | 0.0428 | 0.1116 | 0.1115 | 20.0 |
| 2.9515 | 1.5484 | 96 | 2.6247 | 0.1362 | 0.0426 | 0.1117 | 0.1116 | 20.0 |
| 2.6475 | 1.5806 | 98 | 2.6192 | 0.1363 | 0.0423 | 0.1117 | 0.1115 | 20.0 |
| 3.0313 | 1.6129 | 100 | 2.6138 | 0.1373 | 0.0429 | 0.1123 | 0.1122 | 20.0 |
| 2.7451 | 1.6452 | 102 | 2.6087 | 0.1377 | 0.0432 | 0.1129 | 0.1127 | 20.0 |
| 2.9397 | 1.6774 | 104 | 2.6039 | 0.1377 | 0.0434 | 0.1132 | 0.1131 | 20.0 |
| 2.8833 | 1.7097 | 106 | 2.5992 | 0.1382 | 0.0434 | 0.1135 | 0.1132 | 20.0 |
| 2.9797 | 1.7419 | 108 | 2.5943 | 0.1383 | 0.0429 | 0.1135 | 0.1133 | 20.0 |
| 2.8241 | 1.7742 | 110 | 2.5896 | 0.1383 | 0.0429 | 0.1136 | 0.1134 | 20.0 |
| 2.7139 | 1.8065 | 112 | 2.5853 | 0.1389 | 0.0424 | 0.1136 | 0.1134 | 20.0 |
| 2.9114 | 1.8387 | 114 | 2.5812 | 0.138 | 0.0421 | 0.1129 | 0.1127 | 20.0 |
| 2.8335 | 1.8710 | 116 | 2.5774 | 0.1382 | 0.0423 | 0.1128 | 0.1126 | 20.0 |
| 2.8012 | 1.9032 | 118 | 2.5740 | 0.1385 | 0.0439 | 0.1134 | 0.1132 | 20.0 |
| 2.8822 | 1.9355 | 120 | 2.5704 | 0.1385 | 0.044 | 0.1139 | 0.1138 | 20.0 |
| 3.0383 | 1.9677 | 122 | 2.5670 | 0.1397 | 0.045 | 0.1152 | 0.1152 | 20.0 |
| 2.9287 | 2.0 | 124 | 2.5636 | 0.1398 | 0.044 | 0.1147 | 0.1146 | 20.0 |
| 2.7666 | 2.0323 | 126 | 2.5601 | 0.1409 | 0.0443 | 0.1155 | 0.1154 | 20.0 |
| 2.5729 | 2.0645 | 128 | 2.5571 | 0.1414 | 0.0449 | 0.1157 | 0.1157 | 20.0 |
| 2.9942 | 2.0968 | 130 | 2.5543 | 0.1417 | 0.045 | 0.1159 | 0.1157 | 20.0 |
| 2.7203 | 2.1290 | 132 | 2.5516 | 0.1422 | 0.0455 | 0.1161 | 0.1161 | 20.0 |
| 2.7695 | 2.1613 | 134 | 2.5490 | 0.1434 | 0.0464 | 0.1169 | 0.1168 | 20.0 |
| 2.7066 | 2.1935 | 136 | 2.5465 | 0.1441 | 0.047 | 0.1173 | 0.1173 | 20.0 |
| 2.9297 | 2.2258 | 138 | 2.5440 | 0.1449 | 0.0479 | 0.118 | 0.118 | 20.0 |
| 2.872 | 2.2581 | 140 | 2.5415 | 0.145 | 0.048 | 0.1181 | 0.118 | 20.0 |
| 2.929 | 2.2903 | 142 | 2.5389 | 0.1457 | 0.0485 | 0.1186 | 0.1185 | 20.0 |
| 2.7474 | 2.3226 | 144 | 2.5363 | 0.1451 | 0.0481 | 0.1181 | 0.1179 | 20.0 |
| 2.9002 | 2.3548 | 146 | 2.5337 | 0.1445 | 0.048 | 0.1175 | 0.1173 | 20.0 |
| 2.8597 | 2.3871 | 148 | 2.5311 | 0.1449 | 0.0487 | 0.118 | 0.118 | 20.0 |
| 2.8553 | 2.4194 | 150 | 2.5287 | 0.1456 | 0.0492 | 0.1184 | 0.1183 | 20.0 |
| 2.8124 | 2.4516 | 152 | 2.5265 | 0.1459 | 0.049 | 0.1183 | 0.1182 | 20.0 |
| 2.9928 | 2.4839 | 154 | 2.5245 | 0.1466 | 0.0496 | 0.119 | 0.1189 | 20.0 |
| 2.7976 | 2.5161 | 156 | 2.5227 | 0.147 | 0.0499 | 0.1193 | 0.1192 | 20.0 |
| 2.9132 | 2.5484 | 158 | 2.5209 | 0.1473 | 0.0505 | 0.1198 | 0.1195 | 20.0 |
| 2.8024 | 2.5806 | 160 | 2.5191 | 0.1478 | 0.0503 | 0.1199 | 0.1198 | 20.0 |
| 2.5642 | 2.6129 | 162 | 2.5174 | 0.147 | 0.0498 | 0.1194 | 0.1192 | 20.0 |
| 2.6441 | 2.6452 | 164 | 2.5159 | 0.147 | 0.0492 | 0.1192 | 0.1191 | 20.0 |
| 2.817 | 2.6774 | 166 | 2.5144 | 0.147 | 0.0492 | 0.1194 | 0.1192 | 20.0 |
| 2.5755 | 2.7097 | 168 | 2.5130 | 0.148 | 0.05 | 0.1206 | 0.1205 | 20.0 |
| 2.8725 | 2.7419 | 170 | 2.5116 | 0.1486 | 0.0504 | 0.121 | 0.1209 | 20.0 |
| 2.5783 | 2.7742 | 172 | 2.5102 | 0.1481 | 0.05 | 0.1204 | 0.1202 | 20.0 |
| 2.7022 | 2.8065 | 174 | 2.5090 | 0.1481 | 0.0502 | 0.1204 | 0.1202 | 20.0 |
| 3.0013 | 2.8387 | 176 | 2.5078 | 0.1478 | 0.0502 | 0.12 | 0.1199 | 20.0 |
| 2.7448 | 2.8710 | 178 | 2.5066 | 0.1485 | 0.0509 | 0.1206 | 0.1203 | 20.0 |
| 2.907 | 2.9032 | 180 | 2.5055 | 0.1489 | 0.051 | 0.1208 | 0.1207 | 20.0 |
| 2.6482 | 2.9355 | 182 | 2.5044 | 0.149 | 0.0507 | 0.1209 | 0.1207 | 20.0 |
| 2.8286 | 2.9677 | 184 | 2.5034 | 0.1492 | 0.0506 | 0.1208 | 0.1206 | 20.0 |
| 2.8935 | 3.0 | 186 | 2.5024 | 0.1493 | 0.0506 | 0.1208 | 0.1205 | 20.0 |
| 2.8126 | 3.0323 | 188 | 2.5014 | 0.1497 | 0.0506 | 0.1209 | 0.1208 | 20.0 |
| 2.9074 | 3.0645 | 190 | 2.5003 | 0.1497 | 0.0506 | 0.1209 | 0.1208 | 20.0 |
| 2.6677 | 3.0968 | 192 | 2.4994 | 0.1506 | 0.0509 | 0.1216 | 0.1215 | 20.0 |
| 2.6578 | 3.1290 | 194 | 2.4984 | 0.1504 | 0.0506 | 0.1213 | 0.1211 | 20.0 |
| 2.74 | 3.1613 | 196 | 2.4975 | 0.1506 | 0.0509 | 0.1215 | 0.1213 | 20.0 |
| 2.9685 | 3.1935 | 198 | 2.4966 | 0.1503 | 0.051 | 0.1216 | 0.1214 | 20.0 |
| 2.6863 | 3.2258 | 200 | 2.4958 | 0.1503 | 0.051 | 0.1216 | 0.1214 | 20.0 |
| 2.8132 | 3.2581 | 202 | 2.4951 | 0.1507 | 0.0512 | 0.1221 | 0.1219 | 20.0 |
| 3.1448 | 3.2903 | 204 | 2.4945 | 0.1507 | 0.0512 | 0.1221 | 0.1219 | 20.0 |
| 2.5556 | 3.3226 | 206 | 2.4939 | 0.1505 | 0.0511 | 0.122 | 0.1217 | 20.0 |
| 2.7849 | 3.3548 | 208 | 2.4933 | 0.1506 | 0.0515 | 0.1222 | 0.122 | 20.0 |
| 2.6321 | 3.3871 | 210 | 2.4927 | 0.1507 | 0.0515 | 0.1224 | 0.1222 | 20.0 |
| 2.8026 | 3.4194 | 212 | 2.4922 | 0.1511 | 0.0517 | 0.1228 | 0.1226 | 20.0 |
| 2.6206 | 3.4516 | 214 | 2.4917 | 0.1511 | 0.0517 | 0.1228 | 0.1226 | 20.0 |
| 2.64 | 3.4839 | 216 | 2.4913 | 0.1516 | 0.0523 | 0.1233 | 0.1232 | 20.0 |
| 2.6653 | 3.5161 | 218 | 2.4908 | 0.1521 | 0.0531 | 0.1238 | 0.1236 | 20.0 |
| 2.5859 | 3.5484 | 220 | 2.4904 | 0.1521 | 0.0531 | 0.1238 | 0.1236 | 20.0 |
| 2.9226 | 3.5806 | 222 | 2.4900 | 0.1523 | 0.0532 | 0.1239 | 0.1237 | 20.0 |
| 2.932 | 3.6129 | 224 | 2.4896 | 0.1523 | 0.0532 | 0.1239 | 0.1237 | 20.0 |
| 2.9146 | 3.6452 | 226 | 2.4892 | 0.1525 | 0.0532 | 0.1243 | 0.124 | 20.0 |
| 2.697 | 3.6774 | 228 | 2.4889 | 0.1525 | 0.0532 | 0.1243 | 0.124 | 20.0 |
| 2.7723 | 3.7097 | 230 | 2.4886 | 0.1525 | 0.0532 | 0.1243 | 0.124 | 20.0 |
| 2.5864 | 3.7419 | 232 | 2.4883 | 0.1522 | 0.053 | 0.1241 | 0.1239 | 20.0 |
| 2.7527 | 3.7742 | 234 | 2.4880 | 0.1522 | 0.053 | 0.1241 | 0.1239 | 20.0 |
| 2.8521 | 3.8065 | 236 | 2.4878 | 0.1525 | 0.0532 | 0.1243 | 0.124 | 20.0 |
| 2.7859 | 3.8387 | 238 | 2.4876 | 0.1521 | 0.0529 | 0.1241 | 0.1239 | 20.0 |
| 2.7103 | 3.8710 | 240 | 2.4874 | 0.1525 | 0.053 | 0.1242 | 0.124 | 20.0 |
| 2.7256 | 3.9032 | 242 | 2.4873 | 0.1521 | 0.0529 | 0.1241 | 0.1239 | 20.0 |
| 2.6557 | 3.9355 | 244 | 2.4872 | 0.1525 | 0.053 | 0.1242 | 0.124 | 20.0 |
| 2.7129 | 3.9677 | 246 | 2.4871 | 0.1521 | 0.0529 | 0.1241 | 0.1239 | 20.0 |
| 2.7372 | 4.0 | 248 | 2.4871 | 0.1521 | 0.0529 | 0.1241 | 0.1239 | 20.0 |
### Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.4
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