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long_T5_sum_challenge

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text2text-generation
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End of training

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  1. README.md +24 -24
  2. model.safetensors +1 -1
  3. runs/Jul14_11-24-07_tardis/events.out.tfevents.1752485048.tardis.133811.0 +3 -0
  4. runs/Jul14_11-27-43_tardis/events.out.tfevents.1752485265.tardis.134173.0 +3 -0
  5. runs/Jul14_12-20-01_tardis/events.out.tfevents.1752488402.tardis.136704.0 +3 -0
  6. tokenizer.json +16 -2
  7. training_args.bin +1 -1
README.md CHANGED
@@ -22,21 +22,21 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 13.1318
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- - Rouge1: 0.1428
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- - Rouge2: 0.0236
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- - Rougel: 0.1145
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- - Rougelsum: 0.1143
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  - Gen Len: 20.0
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  - Bleu: 0.0
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- - Precisions: 0.039
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- - Brevity Penalty: 0.5301
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- - Length Ratio: 0.6118
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- - Translation Length: 739.0
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  - Reference Length: 1208.0
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- - Precision: 0.8424
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- - Recall: 0.841
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- - F1: 0.8416
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  - Hashcode: roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1)
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  ## Model description
@@ -70,18 +70,18 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu | Precisions | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Precision | Recall | F1 | Hashcode |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|:----------:|:---------------:|:------------:|:------------------:|:----------------:|:---------:|:------:|:------:|:---------------------------------------------------------:|
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- | No log | 1.0 | 7 | 28.7875 | 0.1359 | 0.0242 | 0.107 | 0.1068 | 20.0 | 0.0 | 0.0419 | 0.55 | 0.6258 | 756.0 | 1208.0 | 0.8424 | 0.8419 | 0.8421 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | No log | 2.0 | 14 | 26.1230 | 0.1331 | 0.0238 | 0.1049 | 0.1046 | 20.0 | 0.0 | 0.0406 | 0.5407 | 0.6192 | 748.0 | 1208.0 | 0.8412 | 0.8402 | 0.8406 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | No log | 3.0 | 21 | 24.0189 | 0.1374 | 0.0238 | 0.1059 | 0.1059 | 20.0 | 0.0 | 0.0419 | 0.529 | 0.6109 | 738.0 | 1208.0 | 0.8417 | 0.8407 | 0.8411 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | No log | 4.0 | 28 | 22.2407 | 0.1383 | 0.0234 | 0.109 | 0.1091 | 20.0 | 0.0 | 0.0417 | 0.5383 | 0.6175 | 746.0 | 1208.0 | 0.8421 | 0.8413 | 0.8416 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | No log | 5.0 | 35 | 20.7505 | 0.1402 | 0.0235 | 0.1094 | 0.1096 | 20.0 | 0.0 | 0.04 | 0.5372 | 0.6167 | 745.0 | 1208.0 | 0.8419 | 0.8414 | 0.8416 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | No log | 6.0 | 42 | 19.4442 | 0.1517 | 0.0283 | 0.1195 | 0.119 | 20.0 | 0.0071 | 0.0444 | 0.5418 | 0.62 | 749.0 | 1208.0 | 0.8443 | 0.8427 | 0.8434 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | No log | 7.0 | 49 | 18.2411 | 0.1506 | 0.0296 | 0.12 | 0.1196 | 20.0 | 0.0071 | 0.044 | 0.5372 | 0.6167 | 745.0 | 1208.0 | 0.844 | 0.8427 | 0.8433 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | No log | 8.0 | 56 | 16.9969 | 0.1472 | 0.027 | 0.1156 | 0.1164 | 20.0 | 0.0 | 0.0417 | 0.5383 | 0.6175 | 746.0 | 1208.0 | 0.8427 | 0.8417 | 0.8422 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | No log | 9.0 | 63 | 15.7249 | 0.1494 | 0.0259 | 0.1173 | 0.1173 | 20.0 | 0.0 | 0.0412 | 0.5348 | 0.6151 | 743.0 | 1208.0 | 0.8433 | 0.8416 | 0.8424 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | No log | 10.0 | 70 | 14.4957 | 0.1486 | 0.0259 | 0.1175 | 0.1176 | 20.0 | 0.0 | 0.0412 | 0.5278 | 0.6101 | 737.0 | 1208.0 | 0.8426 | 0.8417 | 0.8421 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | No log | 11.0 | 77 | 13.5352 | 0.1428 | 0.0236 | 0.1145 | 0.1143 | 20.0 | 0.0 | 0.039 | 0.5301 | 0.6118 | 739.0 | 1208.0 | 0.8424 | 0.841 | 0.8416 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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- | No log | 12.0 | 84 | 13.1318 | 0.1428 | 0.0236 | 0.1145 | 0.1143 | 20.0 | 0.0 | 0.039 | 0.5301 | 0.6118 | 739.0 | 1208.0 | 0.8424 | 0.841 | 0.8416 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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  ### Framework versions
 
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23
  This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 7.6212
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+ - Rouge1: 0.1351
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+ - Rouge2: 0.0198
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+ - Rougel: 0.1098
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+ - Rougelsum: 0.1097
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  - Gen Len: 20.0
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  - Bleu: 0.0
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+ - Precisions: 0.0382
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+ - Brevity Penalty: 0.516
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+ - Length Ratio: 0.6018
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+ - Translation Length: 727.0
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  - Reference Length: 1208.0
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+ - Precision: 0.8374
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+ - Recall: 0.8398
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+ - F1: 0.8385
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  - Hashcode: roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1)
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu | Precisions | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Precision | Recall | F1 | Hashcode |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|:----------:|:---------------:|:------------:|:------------------:|:----------------:|:---------:|:------:|:------:|:---------------------------------------------------------:|
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+ | No log | 1.0 | 7 | 28.1900 | 0.1279 | 0.0207 | 0.1007 | 0.1007 | 20.0 | 0.0 | 0.0385 | 0.5476 | 0.6242 | 754.0 | 1208.0 | 0.8406 | 0.8397 | 0.8401 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | No log | 2.0 | 14 | 25.4058 | 0.1405 | 0.0253 | 0.1073 | 0.1077 | 20.0 | 0.0 | 0.0427 | 0.5395 | 0.6184 | 747.0 | 1208.0 | 0.8426 | 0.8415 | 0.842 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | No log | 3.0 | 21 | 23.2077 | 0.145 | 0.0273 | 0.1108 | 0.1107 | 20.0 | 0.0078 | 0.045 | 0.5453 | 0.6225 | 752.0 | 1208.0 | 0.8434 | 0.8418 | 0.8425 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | No log | 4.0 | 28 | 21.4668 | 0.1471 | 0.0265 | 0.115 | 0.114 | 20.0 | 0.007 | 0.0437 | 0.543 | 0.6209 | 750.0 | 1208.0 | 0.8438 | 0.8422 | 0.8429 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | No log | 5.0 | 35 | 19.9034 | 0.1508 | 0.0275 | 0.1178 | 0.117 | 20.0 | 0.0072 | 0.0442 | 0.5453 | 0.6225 | 752.0 | 1208.0 | 0.8444 | 0.8425 | 0.8434 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | No log | 6.0 | 42 | 18.3550 | 0.1519 | 0.0288 | 0.1197 | 0.1189 | 20.0 | 0.0071 | 0.0437 | 0.536 | 0.6159 | 744.0 | 1208.0 | 0.8446 | 0.8428 | 0.8436 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | No log | 7.0 | 49 | 16.6792 | 0.1515 | 0.0289 | 0.1195 | 0.1194 | 20.0 | 0.0072 | 0.0442 | 0.5407 | 0.6192 | 748.0 | 1208.0 | 0.8453 | 0.8427 | 0.8439 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | No log | 8.0 | 56 | 14.7162 | 0.1445 | 0.0228 | 0.116 | 0.1157 | 20.0 | 0.0 | 0.0391 | 0.5348 | 0.6151 | 743.0 | 1208.0 | 0.8427 | 0.8409 | 0.8417 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | No log | 9.0 | 63 | 12.4721 | 0.1556 | 0.0205 | 0.1205 | 0.1208 | 20.0 | 0.0 | 0.0391 | 0.5325 | 0.6134 | 741.0 | 1208.0 | 0.8449 | 0.8421 | 0.8435 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | No log | 10.0 | 70 | 10.1636 | 0.1562 | 0.0263 | 0.1245 | 0.1238 | 20.0 | 0.0 | 0.0418 | 0.5407 | 0.6192 | 748.0 | 1208.0 | 0.845 | 0.8433 | 0.8441 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | No log | 11.0 | 77 | 8.3358 | 0.142 | 0.0231 | 0.1155 | 0.1153 | 20.0 | 0.0 | 0.0401 | 0.5125 | 0.5993 | 724.0 | 1208.0 | 0.8395 | 0.8411 | 0.8402 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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+ | No log | 12.0 | 84 | 7.6212 | 0.1351 | 0.0198 | 0.1098 | 0.1097 | 20.0 | 0.0 | 0.0382 | 0.516 | 0.6018 | 727.0 | 1208.0 | 0.8374 | 0.8398 | 0.8385 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
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