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denoice-finetuned-xsum

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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  1. README.md +31 -31
  2. model.safetensors +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0564
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- - Rouge1: 63.8802
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- - Rouge2: 45.4086
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- - Rougel: 63.8882
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- - Rougelsum: 63.8316
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- - Gen Len: 17.2016
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  ## Model description
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@@ -53,31 +53,31 @@ The following hyperparameters were used during training:
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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 | 76 | 1.1573 | 62.0366 | 43.6573 | 62.0258 | 61.9691 | 17.2068 |
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- | No log | 2.0 | 152 | 1.1458 | 61.7366 | 43.5997 | 61.7261 | 61.6638 | 17.2408 |
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- | No log | 3.0 | 228 | 1.1342 | 62.8021 | 44.3773 | 62.8168 | 62.7397 | 17.178 |
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- | No log | 4.0 | 304 | 1.1221 | 62.5511 | 44.4096 | 62.3775 | 62.3239 | 17.1518 |
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- | No log | 5.0 | 380 | 1.1177 | 63.0909 | 44.9863 | 62.9819 | 62.9072 | 17.1702 |
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- | No log | 6.0 | 456 | 1.1123 | 62.5334 | 44.2764 | 62.4559 | 62.4037 | 17.2173 |
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- | 1.5445 | 7.0 | 532 | 1.1073 | 62.8456 | 44.711 | 62.7463 | 62.7041 | 17.2016 |
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- | 1.5445 | 8.0 | 608 | 1.0983 | 63.0763 | 44.9468 | 62.9522 | 62.9795 | 17.2147 |
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- | 1.5445 | 9.0 | 684 | 1.0952 | 62.9383 | 44.9129 | 62.8777 | 62.8081 | 17.2487 |
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- | 1.5445 | 10.0 | 760 | 1.0947 | 62.8263 | 44.5132 | 62.7596 | 62.7362 | 17.233 |
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- | 1.5445 | 11.0 | 836 | 1.0801 | 63.0087 | 44.8035 | 63.0091 | 62.9498 | 17.1806 |
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- | 1.5445 | 12.0 | 912 | 1.0781 | 62.9718 | 44.6364 | 62.881 | 62.8786 | 17.1832 |
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- | 1.5445 | 13.0 | 988 | 1.0767 | 63.0711 | 44.7516 | 62.9967 | 62.9834 | 17.199 |
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- | 1.4815 | 14.0 | 1064 | 1.0722 | 63.1128 | 44.8069 | 63.0483 | 63.0151 | 17.2068 |
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- | 1.4815 | 15.0 | 1140 | 1.0719 | 63.2282 | 44.9567 | 63.2052 | 63.1787 | 17.2147 |
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- | 1.4815 | 16.0 | 1216 | 1.0684 | 63.3222 | 44.916 | 63.322 | 63.2505 | 17.199 |
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- | 1.4815 | 17.0 | 1292 | 1.0668 | 63.1931 | 44.9734 | 63.1833 | 63.114 | 17.2251 |
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- | 1.4815 | 18.0 | 1368 | 1.0640 | 63.5689 | 45.1652 | 63.62 | 63.5671 | 17.1806 |
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- | 1.4815 | 19.0 | 1444 | 1.0600 | 63.5552 | 45.2046 | 63.5795 | 63.5295 | 17.199 |
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- | 1.4452 | 20.0 | 1520 | 1.0593 | 63.5801 | 45.2453 | 63.5856 | 63.5245 | 17.199 |
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- | 1.4452 | 21.0 | 1596 | 1.0594 | 63.6291 | 45.1114 | 63.6412 | 63.5951 | 17.2042 |
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- | 1.4452 | 22.0 | 1672 | 1.0571 | 63.9129 | 45.3688 | 63.914 | 63.8618 | 17.1702 |
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- | 1.4452 | 23.0 | 1748 | 1.0573 | 63.8608 | 45.3548 | 63.857 | 63.8156 | 17.2042 |
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- | 1.4452 | 24.0 | 1824 | 1.0571 | 63.875 | 45.3997 | 63.8858 | 63.8202 | 17.2094 |
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- | 1.4452 | 25.0 | 1900 | 1.0564 | 63.8802 | 45.4086 | 63.8882 | 63.8316 | 17.2016 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7699
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+ - Rouge1: 75.4057
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+ - Rouge2: 60.8372
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+ - Rougel: 75.2813
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+ - Rougelsum: 75.3388
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+ - Gen Len: 17.5157
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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 | 76 | 0.8420 | 72.7754 | 57.4787 | 72.7926 | 72.73 | 17.6387 |
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+ | No log | 2.0 | 152 | 0.8339 | 73.0721 | 57.2706 | 73.0236 | 72.9623 | 17.6178 |
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+ | No log | 3.0 | 228 | 0.8351 | 73.6099 | 57.967 | 73.5666 | 73.4951 | 17.6623 |
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+ | No log | 4.0 | 304 | 0.8239 | 73.5357 | 57.6669 | 73.4526 | 73.5157 | 17.5916 |
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+ | No log | 5.0 | 380 | 0.8164 | 73.7228 | 58.0556 | 73.6791 | 73.69 | 17.5969 |
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+ | No log | 6.0 | 456 | 0.8133 | 74.1346 | 58.755 | 74.0915 | 74.1094 | 17.6021 |
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+ | 1.1888 | 7.0 | 532 | 0.8080 | 74.2063 | 58.7052 | 74.1442 | 74.2247 | 17.5969 |
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+ | 1.1888 | 8.0 | 608 | 0.8073 | 74.0301 | 58.5081 | 73.9849 | 74.0378 | 17.5733 |
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+ | 1.1888 | 9.0 | 684 | 0.8043 | 74.2651 | 58.8463 | 74.2069 | 74.284 | 17.5785 |
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+ | 1.1888 | 10.0 | 760 | 0.8003 | 74.4637 | 59.2146 | 74.4277 | 74.5006 | 17.5838 |
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+ | 1.1888 | 11.0 | 836 | 0.7933 | 74.5048 | 59.1095 | 74.4329 | 74.4965 | 17.5707 |
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+ | 1.1888 | 12.0 | 912 | 0.7904 | 74.8337 | 59.4889 | 74.7667 | 74.8005 | 17.5733 |
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+ | 1.1888 | 13.0 | 988 | 0.7879 | 75.0519 | 59.7797 | 74.937 | 75.0109 | 17.5785 |
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+ | 1.1259 | 14.0 | 1064 | 0.7876 | 75.2269 | 60.0994 | 75.1242 | 75.1981 | 17.5628 |
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+ | 1.1259 | 15.0 | 1140 | 0.7779 | 75.1229 | 59.887 | 75.0029 | 75.0717 | 17.5445 |
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+ | 1.1259 | 16.0 | 1216 | 0.7768 | 75.461 | 60.4297 | 75.255 | 75.3054 | 17.5393 |
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+ | 1.1259 | 17.0 | 1292 | 0.7757 | 75.5466 | 60.7191 | 75.397 | 75.4456 | 17.5497 |
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+ | 1.1259 | 18.0 | 1368 | 0.7780 | 75.6079 | 60.7743 | 75.4396 | 75.5341 | 17.5497 |
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+ | 1.1259 | 19.0 | 1444 | 0.7730 | 75.362 | 60.6829 | 75.1996 | 75.2653 | 17.5393 |
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+ | 1.0939 | 20.0 | 1520 | 0.7739 | 75.4207 | 60.7544 | 75.2581 | 75.3047 | 17.5393 |
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+ | 1.0939 | 21.0 | 1596 | 0.7730 | 75.363 | 60.7235 | 75.2341 | 75.2882 | 17.5471 |
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+ | 1.0939 | 22.0 | 1672 | 0.7713 | 75.3809 | 60.7759 | 75.2489 | 75.3012 | 17.5262 |
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+ | 1.0939 | 23.0 | 1748 | 0.7695 | 75.4104 | 60.7961 | 75.2757 | 75.3183 | 17.5157 |
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+ | 1.0939 | 24.0 | 1824 | 0.7705 | 75.3482 | 60.8028 | 75.2489 | 75.2857 | 17.5157 |
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+ | 1.0939 | 25.0 | 1900 | 0.7699 | 75.4057 | 60.8372 | 75.2813 | 75.3388 | 17.5157 |
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  ### Framework versions
model.safetensors CHANGED
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