End of training
Browse files- README.md +107 -107
- model.safetensors +1 -1
README.md
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metrics:
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- name: Rouge1
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type: rouge
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the hdfs_log_summary_dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Rouge1: 0.
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- Rouge2: 0.
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- Rougel: 0.
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- Rougelsum: 0.
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- Gen Len:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 12 |
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| No log | 2.0 | 24 |
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| No log | 3.0 | 36 |
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| No log | 4.0 | 48 |
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| No log | 5.0 | 60 |
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| No log | 6.0 | 72 |
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| No log | 7.0 | 84 |
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| No log | 8.0 | 96 |
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| No log | 9.0 | 108 |
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| No log | 10.0 | 120 |
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| No log | 11.0 | 132 |
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| No log | 12.0 | 144 |
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| No log | 13.0 | 156 |
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| No log | 14.0 | 168 |
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| No log | 15.0 | 180 |
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| No log | 16.0 | 192 |
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| No log | 17.0 | 204 |
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| No log | 18.0 | 216 |
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| No log | 19.0 | 228 |
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| No log | 20.0 | 240 |
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| No log | 21.0 | 252 |
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| No log | 22.0 | 264 |
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| No log | 23.0 | 276 |
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| No log | 24.0 | 288 |
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| No log | 25.0 | 300 |
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| No log | 26.0 | 312 |
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| No log | 27.0 | 324 |
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| No log | 28.0 | 336 |
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| No log | 29.0 | 348 |
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| No log | 30.0 | 360 |
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| No log | 31.0 | 372 |
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| No log | 32.0 | 384 |
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| No log | 33.0 | 396 |
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| No log | 34.0 | 408 |
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| No log | 35.0 | 420 |
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| No log | 36.0 | 432 |
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| No log | 37.0 | 444 |
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| No log | 38.0 | 456 |
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| No log | 39.0 | 468 |
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| No log | 40.0 | 480 |
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| No log | 41.0 | 492 |
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### Framework versions
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metrics:
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- name: Rouge1
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type: rouge
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+
value: 0.481
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the hdfs_log_summary_dataset dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3180
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- Rouge1: 0.481
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- Rouge2: 0.199
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- Rougel: 0.3851
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- Rougelsum: 0.3851
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- Gen Len: 19.0
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| No log | 1.0 | 12 | 2.6793 | 0.256 | 0.0371 | 0.1994 | 0.1972 | 19.0 |
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| No log | 2.0 | 24 | 2.3598 | 0.2673 | 0.0242 | 0.2029 | 0.2026 | 19.0 |
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| No log | 3.0 | 36 | 2.0954 | 0.3574 | 0.1335 | 0.3082 | 0.3103 | 19.0 |
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| No log | 4.0 | 48 | 1.8625 | 0.5067 | 0.2011 | 0.4555 | 0.4555 | 19.0 |
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| No log | 5.0 | 60 | 1.7234 | 0.5084 | 0.1774 | 0.4692 | 0.4692 | 19.0 |
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| No log | 6.0 | 72 | 1.6112 | 0.5076 | 0.2292 | 0.4759 | 0.4758 | 19.0 |
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| No log | 7.0 | 84 | 1.5393 | 0.4973 | 0.149 | 0.4351 | 0.4351 | 19.0 |
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| No log | 8.0 | 96 | 1.4568 | 0.5201 | 0.1813 | 0.455 | 0.455 | 19.0 |
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| No log | 9.0 | 108 | 1.3843 | 0.5201 | 0.1713 | 0.4646 | 0.4646 | 19.0 |
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| No log | 10.0 | 120 | 1.3334 | 0.528 | 0.1902 | 0.4448 | 0.4417 | 19.0 |
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| No log | 11.0 | 132 | 1.2955 | 0.5015 | 0.1675 | 0.4281 | 0.4281 | 19.0 |
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| No log | 12.0 | 144 | 1.2696 | 0.504 | 0.1997 | 0.4622 | 0.4609 | 19.0 |
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| No log | 13.0 | 156 | 1.2270 | 0.5333 | 0.2097 | 0.4521 | 0.4514 | 19.0 |
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| No log | 14.0 | 168 | 1.2085 | 0.5208 | 0.183 | 0.4389 | 0.4389 | 19.0 |
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| No log | 15.0 | 180 | 1.2109 | 0.5117 | 0.2378 | 0.484 | 0.4788 | 19.0 |
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| No log | 16.0 | 192 | 1.1832 | 0.5012 | 0.1858 | 0.448 | 0.4472 | 19.0 |
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| No log | 17.0 | 204 | 1.1816 | 0.5033 | 0.172 | 0.4216 | 0.4216 | 19.0 |
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| No log | 18.0 | 216 | 1.1876 | 0.5012 | 0.1916 | 0.4391 | 0.4391 | 19.0 |
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| No log | 19.0 | 228 | 1.1663 | 0.4935 | 0.1806 | 0.4333 | 0.4333 | 19.0 |
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| No log | 20.0 | 240 | 1.1703 | 0.525 | 0.2545 | 0.4589 | 0.4571 | 19.0 |
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| No log | 21.0 | 252 | 1.1784 | 0.5223 | 0.1939 | 0.3871 | 0.3871 | 19.0 |
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| No log | 22.0 | 264 | 1.1585 | 0.5006 | 0.2246 | 0.4209 | 0.4209 | 19.0 |
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| No log | 23.0 | 276 | 1.1419 | 0.5049 | 0.2173 | 0.4533 | 0.4533 | 19.0 |
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| No log | 24.0 | 288 | 1.1602 | 0.4805 | 0.1934 | 0.4115 | 0.4115 | 19.0 |
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| No log | 25.0 | 300 | 1.1415 | 0.5079 | 0.23 | 0.4278 | 0.4278 | 19.0 |
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| No log | 26.0 | 312 | 1.1466 | 0.503 | 0.2143 | 0.4121 | 0.4121 | 19.0 |
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| No log | 27.0 | 324 | 1.1420 | 0.504 | 0.1978 | 0.4413 | 0.4413 | 19.0 |
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| No log | 28.0 | 336 | 1.1342 | 0.4754 | 0.161 | 0.4249 | 0.4249 | 19.0 |
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| No log | 29.0 | 348 | 1.1296 | 0.4597 | 0.1781 | 0.4106 | 0.4106 | 19.0 |
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| No log | 30.0 | 360 | 1.1316 | 0.4536 | 0.1596 | 0.3946 | 0.3946 | 19.0 |
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| No log | 31.0 | 372 | 1.1128 | 0.4605 | 0.1943 | 0.4136 | 0.4136 | 19.0 |
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| No log | 32.0 | 384 | 1.1265 | 0.4776 | 0.2088 | 0.4386 | 0.4386 | 19.0 |
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| No log | 33.0 | 396 | 1.1519 | 0.4905 | 0.2251 | 0.4514 | 0.4514 | 19.0 |
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| No log | 34.0 | 408 | 1.1620 | 0.4923 | 0.2256 | 0.427 | 0.4337 | 19.0 |
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| No log | 35.0 | 420 | 1.1482 | 0.4702 | 0.1633 | 0.3997 | 0.3997 | 19.0 |
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| No log | 36.0 | 432 | 1.1282 | 0.4573 | 0.1526 | 0.3877 | 0.3877 | 19.0 |
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| No log | 37.0 | 444 | 1.1415 | 0.4684 | 0.1628 | 0.4213 | 0.4173 | 19.0 |
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| No log | 38.0 | 456 | 1.1382 | 0.4583 | 0.1642 | 0.3977 | 0.3977 | 19.0 |
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| No log | 39.0 | 468 | 1.1410 | 0.4922 | 0.1628 | 0.4212 | 0.4212 | 19.0 |
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| No log | 40.0 | 480 | 1.1469 | 0.4619 | 0.1642 | 0.3836 | 0.3836 | 19.0 |
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| No log | 41.0 | 492 | 1.1670 | 0.4417 | 0.1354 | 0.3808 | 0.3808 | 19.0 |
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| 1.3411 | 42.0 | 504 | 1.1810 | 0.4407 | 0.114 | 0.3615 | 0.3615 | 19.0 |
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| 1.3411 | 43.0 | 516 | 1.1487 | 0.4179 | 0.1108 | 0.3556 | 0.3556 | 19.0 |
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| 1.3411 | 44.0 | 528 | 1.1588 | 0.448 | 0.1428 | 0.3691 | 0.3691 | 19.0 |
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| 1.3411 | 45.0 | 540 | 1.1858 | 0.4686 | 0.163 | 0.3724 | 0.3724 | 19.0 |
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| 1.3411 | 46.0 | 552 | 1.1603 | 0.4535 | 0.173 | 0.3923 | 0.3923 | 19.0 |
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| 1.3411 | 47.0 | 564 | 1.1895 | 0.4622 | 0.1524 | 0.4017 | 0.4017 | 19.0 |
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| 1.3411 | 48.0 | 576 | 1.2088 | 0.4465 | 0.1651 | 0.379 | 0.3746 | 19.0 |
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| 1.3411 | 49.0 | 588 | 1.2149 | 0.4284 | 0.1316 | 0.36 | 0.3562 | 19.0 |
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| 1.3411 | 50.0 | 600 | 1.1931 | 0.4527 | 0.1424 | 0.3821 | 0.3821 | 19.0 |
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| 1.3411 | 51.0 | 612 | 1.2113 | 0.4736 | 0.2429 | 0.4268 | 0.4268 | 19.0 |
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| 1.3411 | 52.0 | 624 | 1.2010 | 0.4659 | 0.1847 | 0.3817 | 0.3817 | 19.0 |
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| 1.3411 | 53.0 | 636 | 1.2029 | 0.4619 | 0.2017 | 0.3954 | 0.3954 | 19.0 |
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| 1.3411 | 54.0 | 648 | 1.1864 | 0.4416 | 0.1599 | 0.3739 | 0.3739 | 19.0 |
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| 1.3411 | 55.0 | 660 | 1.1970 | 0.458 | 0.1214 | 0.3508 | 0.3508 | 19.0 |
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| 1.3411 | 56.0 | 672 | 1.2196 | 0.4244 | 0.1678 | 0.3573 | 0.3573 | 19.0 |
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| 1.3411 | 57.0 | 684 | 1.2464 | 0.4527 | 0.2177 | 0.4009 | 0.3997 | 19.0 |
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| 1.3411 | 58.0 | 696 | 1.2614 | 0.4527 | 0.2177 | 0.4009 | 0.3997 | 19.0 |
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| 1.3411 | 59.0 | 708 | 1.2655 | 0.4171 | 0.1669 | 0.3362 | 0.3362 | 19.0 |
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| 1.3411 | 60.0 | 720 | 1.2235 | 0.4244 | 0.1678 | 0.3573 | 0.3573 | 19.0 |
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| 1.3411 | 61.0 | 732 | 1.2127 | 0.4597 | 0.2303 | 0.3926 | 0.3926 | 19.0 |
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| 1.3411 | 62.0 | 744 | 1.2257 | 0.4989 | 0.2331 | 0.4313 | 0.4293 | 19.0 |
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| 1.3411 | 63.0 | 756 | 1.2806 | 0.4408 | 0.1314 | 0.361 | 0.361 | 19.0 |
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| 1.3411 | 64.0 | 768 | 1.2993 | 0.4306 | 0.1125 | 0.338 | 0.338 | 19.0 |
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| 1.3411 | 65.0 | 780 | 1.2633 | 0.4306 | 0.1125 | 0.338 | 0.338 | 19.0 |
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| 1.3411 | 66.0 | 792 | 1.2495 | 0.481 | 0.174 | 0.3733 | 0.3733 | 19.0 |
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| 1.3411 | 67.0 | 804 | 1.2415 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
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| 1.3411 | 68.0 | 816 | 1.2658 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
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| 1.3411 | 69.0 | 828 | 1.2628 | 0.4715 | 0.209 | 0.3946 | 0.3946 | 19.0 |
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| 1.3411 | 70.0 | 840 | 1.2368 | 0.4715 | 0.209 | 0.3946 | 0.3946 | 19.0 |
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| 1.3411 | 71.0 | 852 | 1.2456 | 0.4416 | 0.1474 | 0.3739 | 0.3739 | 19.0 |
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| 1.3411 | 72.0 | 864 | 1.2683 | 0.4149 | 0.1465 | 0.3593 | 0.3593 | 19.0 |
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| 1.3411 | 73.0 | 876 | 1.2821 | 0.4306 | 0.1365 | 0.3498 | 0.3498 | 19.0 |
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| 1.3411 | 74.0 | 888 | 1.2818 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
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| 1.3411 | 75.0 | 900 | 1.2872 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
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| 1.3411 | 76.0 | 912 | 1.2939 | 0.4306 | 0.1365 | 0.3498 | 0.3498 | 19.0 |
|
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| 1.3411 | 77.0 | 924 | 1.2818 | 0.4457 | 0.174 | 0.3607 | 0.3615 | 19.0 |
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| 1.3411 | 78.0 | 936 | 1.2915 | 0.4306 | 0.1365 | 0.3498 | 0.3498 | 19.0 |
|
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| 1.3411 | 79.0 | 948 | 1.2721 | 0.4306 | 0.1365 | 0.3498 | 0.3498 | 19.0 |
|
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| 1.3411 | 80.0 | 960 | 1.2740 | 0.4306 | 0.1365 | 0.3498 | 0.3498 | 19.0 |
|
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| 1.3411 | 81.0 | 972 | 1.2809 | 0.4306 | 0.1365 | 0.3498 | 0.3498 | 19.0 |
|
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| 1.3411 | 82.0 | 984 | 1.2844 | 0.4457 | 0.174 | 0.3607 | 0.3615 | 19.0 |
|
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| 1.3411 | 83.0 | 996 | 1.2838 | 0.4725 | 0.1749 | 0.3761 | 0.3761 | 19.0 |
|
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| 0.5569 | 84.0 | 1008 | 1.2767 | 0.4725 | 0.1749 | 0.3761 | 0.3761 | 19.0 |
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| 0.5569 | 85.0 | 1020 | 1.2868 | 0.4835 | 0.2049 | 0.3961 | 0.3961 | 19.0 |
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| 0.5569 | 86.0 | 1032 | 1.2878 | 0.4607 | 0.1374 | 0.3644 | 0.3644 | 19.0 |
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| 0.5569 | 87.0 | 1044 | 1.2906 | 0.4607 | 0.1374 | 0.3644 | 0.3644 | 19.0 |
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| 0.5569 | 88.0 | 1056 | 1.3023 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
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| 0.5569 | 89.0 | 1068 | 1.3053 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
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| 0.5569 | 90.0 | 1080 | 1.3044 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
|
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| 0.5569 | 91.0 | 1092 | 1.3097 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
|
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| 0.5569 | 92.0 | 1104 | 1.3169 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
|
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| 0.5569 | 93.0 | 1116 | 1.3269 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
|
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| 0.5569 | 94.0 | 1128 | 1.3271 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
|
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| 0.5569 | 95.0 | 1140 | 1.3276 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
|
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| 0.5569 | 96.0 | 1152 | 1.3250 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
|
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| 0.5569 | 97.0 | 1164 | 1.3211 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
|
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| 0.5569 | 98.0 | 1176 | 1.3192 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
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| 0.5569 | 99.0 | 1188 | 1.3182 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
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| 0.5569 | 100.0 | 1200 | 1.3180 | 0.481 | 0.199 | 0.3851 | 0.3851 | 19.0 |
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### Framework versions
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model.safetensors
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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oid sha256:be17d885bf488b7e9f991f5f06b22602a9c4c53df2ffe0834edb62eed8a15f02
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size 990345064
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