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Physical_MainSections_PegasusLargeModel

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End of training

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  1. README.md +25 -25
  2. model.safetensors +1 -1
  3. runs/Jun10_22-39-38_d1937ca70450/events.out.tfevents.1718059179.d1937ca70450.34.0 +3 -0
  4. tokenizer.json +0 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -17,15 +17,15 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.4037
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- - Rouge1: 45.804
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- - Rouge2: 14.3054
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- - Rougel: 31.6282
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- - Rougelsum: 41.7029
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- - Bertscore Precision: 79.2126
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- - Bertscore Recall: 82.1237
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- - Bertscore F1: 80.6347
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- - Bleu: 0.0946
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  - Gen Len: 192.3440
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  ## Model description
@@ -60,22 +60,22 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bertscore Precision | Bertscore Recall | Bertscore F1 | Bleu | Gen Len |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------------------:|:----------------:|:------------:|:------:|:--------:|
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- | 6.7095 | 0.0622 | 100 | 6.4178 | 36.0453 | 8.9447 | 24.021 | 32.0943 | 75.8084 | 79.9251 | 77.8024 | 0.0556 | 192.3440 |
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- | 6.3905 | 0.1244 | 200 | 6.0783 | 38.1554 | 10.9133 | 27.2576 | 34.6023 | 76.641 | 80.5994 | 78.56 | 0.0707 | 192.3440 |
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- | 6.2792 | 0.1866 | 300 | 5.9594 | 40.6546 | 12.0393 | 28.4235 | 36.627 | 77.2799 | 81.0585 | 79.114 | 0.0795 | 192.3440 |
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- | 6.0432 | 0.2489 | 400 | 5.8504 | 42.032 | 12.5805 | 29.0342 | 37.8624 | 77.3389 | 81.2474 | 79.2345 | 0.0837 | 192.3440 |
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- | 6.0194 | 0.3111 | 500 | 5.7561 | 42.2713 | 12.7989 | 29.4179 | 38.3367 | 77.7209 | 81.4036 | 79.5101 | 0.0851 | 192.3440 |
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- | 5.9572 | 0.3733 | 600 | 5.6826 | 42.8611 | 13.114 | 29.7611 | 38.6929 | 77.7105 | 81.5047 | 79.5527 | 0.0871 | 192.3440 |
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- | 5.8376 | 0.4355 | 700 | 5.6166 | 43.2801 | 13.2912 | 30.0788 | 39.1921 | 78.1251 | 81.6581 | 79.8435 | 0.0885 | 192.3440 |
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- | 5.8576 | 0.4977 | 800 | 5.5671 | 44.8645 | 13.8512 | 30.7013 | 40.3042 | 78.4759 | 81.8227 | 80.1058 | 0.0912 | 192.3440 |
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- | 5.829 | 0.5599 | 900 | 5.5247 | 44.8986 | 13.7738 | 30.9422 | 40.6721 | 78.6683 | 81.8592 | 80.2239 | 0.0908 | 192.3440 |
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- | 5.6419 | 0.6222 | 1000 | 5.5020 | 45.3561 | 14.0296 | 31.0862 | 41.1003 | 78.8766 | 81.9642 | 80.3833 | 0.0929 | 192.3440 |
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- | 5.6271 | 0.6844 | 1100 | 5.4733 | 45.7793 | 14.187 | 31.3947 | 41.5894 | 79.1833 | 82.0752 | 80.5964 | 0.0942 | 192.3440 |
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- | 5.783 | 0.7466 | 1200 | 5.4428 | 45.0362 | 13.8943 | 31.2845 | 41.1162 | 79.0724 | 81.9756 | 80.4908 | 0.0924 | 192.3440 |
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- | 5.6651 | 0.8088 | 1300 | 5.4275 | 45.363 | 14.1177 | 31.4261 | 41.362 | 79.1799 | 82.0643 | 80.5892 | 0.0936 | 192.3440 |
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- | 5.6352 | 0.8710 | 1400 | 5.4140 | 45.8036 | 14.2814 | 31.6005 | 41.5921 | 79.214 | 82.1346 | 80.6407 | 0.0949 | 192.3440 |
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- | 5.5694 | 0.9332 | 1500 | 5.4073 | 45.8484 | 14.2906 | 31.6313 | 41.6869 | 79.2567 | 82.128 | 80.6598 | 0.0949 | 192.3440 |
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- | 5.6847 | 0.9955 | 1600 | 5.4037 | 45.804 | 14.3054 | 31.6282 | 41.7029 | 79.2126 | 82.1237 | 80.6347 | 0.0946 | 192.3440 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/pegasus-large](https://huggingface.co/google/pegasus-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.4319
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+ - Rouge1: 45.5252
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+ - Rouge2: 14.1464
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+ - Rougel: 31.4229
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+ - Rougelsum: 41.3858
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+ - Bertscore Precision: 79.0611
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+ - Bertscore Recall: 82.0495
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+ - Bertscore F1: 80.5201
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+ - Bleu: 0.0938
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  - Gen Len: 192.3440
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bertscore Precision | Bertscore Recall | Bertscore F1 | Bleu | Gen Len |
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  |:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------------------:|:----------------:|:------------:|:------:|:--------:|
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+ | 6.7243 | 0.0622 | 100 | 6.4316 | 35.9433 | 8.9384 | 23.9375 | 31.9391 | 75.7874 | 79.9159 | 77.7871 | 0.0555 | 192.3440 |
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+ | 6.3971 | 0.1244 | 200 | 6.0845 | 38.3256 | 10.9703 | 27.2908 | 34.7128 | 76.6783 | 80.6127 | 78.5859 | 0.0706 | 192.3440 |
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+ | 6.2761 | 0.1866 | 300 | 5.9553 | 40.7647 | 12.2223 | 28.45 | 36.7148 | 77.1954 | 81.0751 | 79.0774 | 0.0807 | 192.3440 |
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+ | 6.0434 | 0.2489 | 400 | 5.8472 | 42.1277 | 12.5854 | 29.1212 | 37.9861 | 77.5784 | 81.2781 | 79.3756 | 0.0839 | 192.3440 |
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+ | 6.0126 | 0.3111 | 500 | 5.7596 | 42.3736 | 12.8329 | 29.4128 | 38.3711 | 77.6752 | 81.4031 | 79.4859 | 0.0852 | 192.3440 |
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+ | 5.9705 | 0.3733 | 600 | 5.6999 | 42.782 | 13.0394 | 29.6295 | 38.5859 | 77.6255 | 81.462 | 79.4875 | 0.0864 | 192.3440 |
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+ | 5.8576 | 0.4355 | 700 | 5.6527 | 43.1782 | 13.1374 | 29.8607 | 39.0053 | 77.9976 | 81.5732 | 79.7363 | 0.0872 | 192.3440 |
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+ | 5.8948 | 0.4977 | 800 | 5.6187 | 43.6171 | 13.2343 | 30.0467 | 39.4409 | 78.0197 | 81.5872 | 79.7542 | 0.0869 | 192.3440 |
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+ | 5.8581 | 0.5599 | 900 | 5.5710 | 44.6985 | 13.6521 | 30.6142 | 40.4634 | 78.5325 | 81.7996 | 80.1244 | 0.0900 | 192.3440 |
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+ | 5.669 | 0.6222 | 1000 | 5.5349 | 45.0937 | 13.8618 | 30.8512 | 40.8417 | 78.6878 | 81.9065 | 80.2571 | 0.0919 | 192.3440 |
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+ | 5.6482 | 0.6844 | 1100 | 5.5042 | 45.0894 | 13.9336 | 31.0576 | 41.0813 | 78.9344 | 81.9388 | 80.4013 | 0.0927 | 192.3440 |
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+ | 5.8084 | 0.7466 | 1200 | 5.4730 | 44.4944 | 13.6928 | 30.9811 | 40.6992 | 78.8689 | 81.8742 | 80.3361 | 0.0910 | 192.3440 |
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+ | 5.6847 | 0.8088 | 1300 | 5.4582 | 45.1825 | 14.0216 | 31.2665 | 41.128 | 79.0426 | 81.9989 | 80.4862 | 0.0928 | 192.3440 |
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+ | 5.6545 | 0.8710 | 1400 | 5.4444 | 45.5502 | 14.1713 | 31.3938 | 41.3877 | 79.0623 | 82.0733 | 80.5322 | 0.0942 | 192.3440 |
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+ | 5.5869 | 0.9332 | 1500 | 5.4363 | 45.545 | 14.1516 | 31.4241 | 41.4205 | 79.1346 | 82.0625 | 80.5647 | 0.0939 | 192.3440 |
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+ | 5.7046 | 0.9955 | 1600 | 5.4319 | 45.5252 | 14.1464 | 31.4229 | 41.3858 | 79.0611 | 82.0495 | 80.5201 | 0.0938 | 192.3440 |
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  ### Framework versions
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