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denoice-finetuned-xsum

Transformers
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
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  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: 0.0221
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- - Rouge1: 94.8315
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- - Rouge2: 72.6592
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- - Rougel: 94.8315
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- - Rougelsum: 94.8876
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- - Gen Len: 5.1348
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  ## Model description
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@@ -53,76 +53,76 @@ 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 | 36 | 0.0285 | 91.8165 | 69.4757 | 91.8727 | 92.0412 | 5.0843 |
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- | No log | 2.0 | 72 | 0.0284 | 91.6854 | 69.2884 | 91.7603 | 91.9476 | 5.0787 |
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- | No log | 3.0 | 108 | 0.0280 | 92.3783 | 70.0375 | 92.4625 | 92.5281 | 5.0899 |
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- | No log | 4.0 | 144 | 0.0277 | 92.3783 | 70.0375 | 92.4625 | 92.5281 | 5.0899 |
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- | No log | 5.0 | 180 | 0.0276 | 92.9307 | 70.412 | 93.0337 | 93.1086 | 5.0955 |
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- | No log | 6.0 | 216 | 0.0275 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.1236 |
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- | No log | 7.0 | 252 | 0.0271 | 92.9963 | 70.412 | 92.9588 | 93.0337 | 5.1067 |
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- | No log | 8.0 | 288 | 0.0268 | 93.3708 | 70.9738 | 93.427 | 93.3708 | 5.118 |
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- | No log | 9.0 | 324 | 0.0267 | 93.3708 | 70.9738 | 93.427 | 93.3708 | 5.118 |
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- | No log | 10.0 | 360 | 0.0264 | 93.3708 | 70.9738 | 93.427 | 93.3708 | 5.118 |
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- | No log | 11.0 | 396 | 0.0264 | 93.5581 | 70.9738 | 93.5393 | 93.6517 | 5.1124 |
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- | No log | 12.0 | 432 | 0.0262 | 93.5581 | 70.9738 | 93.5393 | 93.6517 | 5.1124 |
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- | No log | 13.0 | 468 | 0.0260 | 93.5581 | 70.9738 | 93.5393 | 93.6517 | 5.1124 |
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- | 0.049 | 14.0 | 504 | 0.0259 | 93.4644 | 70.8801 | 93.4457 | 93.5768 | 5.1236 |
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- | 0.049 | 15.0 | 540 | 0.0257 | 93.5581 | 70.9738 | 93.5393 | 93.6517 | 5.1124 |
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- | 0.049 | 16.0 | 576 | 0.0256 | 93.4644 | 70.8801 | 93.4457 | 93.5768 | 5.1236 |
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- | 0.049 | 17.0 | 612 | 0.0256 | 93.5581 | 70.9738 | 93.5393 | 93.6517 | 5.1124 |
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- | 0.049 | 18.0 | 648 | 0.0255 | 93.4644 | 70.8801 | 93.4457 | 93.5768 | 5.118 |
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- | 0.049 | 19.0 | 684 | 0.0252 | 93.5581 | 70.9738 | 93.5393 | 93.6517 | 5.1067 |
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- | 0.049 | 20.0 | 720 | 0.0250 | 93.5581 | 70.9738 | 93.5393 | 93.6517 | 5.1124 |
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- | 0.049 | 21.0 | 756 | 0.0248 | 93.5581 | 70.9738 | 93.5393 | 93.6517 | 5.1124 |
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- | 0.049 | 22.0 | 792 | 0.0245 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.049 | 23.0 | 828 | 0.0246 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.049 | 24.0 | 864 | 0.0246 | 93.5581 | 70.9738 | 93.5393 | 93.6517 | 5.1067 |
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- | 0.049 | 25.0 | 900 | 0.0245 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.049 | 26.0 | 936 | 0.0243 | 94.1573 | 72.2846 | 94.2697 | 94.2697 | 5.1236 |
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- | 0.049 | 27.0 | 972 | 0.0243 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.0433 | 28.0 | 1008 | 0.0242 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.1236 |
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- | 0.0433 | 29.0 | 1044 | 0.0239 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.0433 | 30.0 | 1080 | 0.0237 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.0433 | 31.0 | 1116 | 0.0236 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.1236 |
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- | 0.0433 | 32.0 | 1152 | 0.0235 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.0433 | 33.0 | 1188 | 0.0234 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.0433 | 34.0 | 1224 | 0.0234 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.0433 | 35.0 | 1260 | 0.0232 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.0433 | 36.0 | 1296 | 0.0232 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.0433 | 37.0 | 1332 | 0.0232 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.0433 | 38.0 | 1368 | 0.0232 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.118 |
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- | 0.0433 | 39.0 | 1404 | 0.0230 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.1236 |
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- | 0.0433 | 40.0 | 1440 | 0.0228 | 93.8764 | 71.5356 | 93.9607 | 94.0449 | 5.1236 |
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- | 0.0433 | 41.0 | 1476 | 0.0228 | 94.4944 | 72.0974 | 94.4944 | 94.6067 | 5.1348 |
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- | 0.0399 | 42.0 | 1512 | 0.0228 | 94.4944 | 72.0974 | 94.4944 | 94.6067 | 5.1348 |
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- | 0.0399 | 43.0 | 1548 | 0.0228 | 94.4944 | 72.0974 | 94.4944 | 94.6067 | 5.1348 |
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- | 0.0399 | 44.0 | 1584 | 0.0228 | 94.4944 | 72.0974 | 94.4944 | 94.6067 | 5.1348 |
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- | 0.0399 | 45.0 | 1620 | 0.0228 | 94.4944 | 72.0974 | 94.4944 | 94.6067 | 5.1292 |
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- | 0.0399 | 46.0 | 1656 | 0.0228 | 94.4944 | 72.0974 | 94.4944 | 94.6067 | 5.1292 |
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- | 0.0399 | 47.0 | 1692 | 0.0228 | 94.4944 | 72.0974 | 94.4944 | 94.6067 | 5.1292 |
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- | 0.0399 | 48.0 | 1728 | 0.0227 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0399 | 49.0 | 1764 | 0.0226 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0399 | 50.0 | 1800 | 0.0225 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0399 | 51.0 | 1836 | 0.0224 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0399 | 52.0 | 1872 | 0.0225 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0399 | 53.0 | 1908 | 0.0224 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0399 | 54.0 | 1944 | 0.0224 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0399 | 55.0 | 1980 | 0.0224 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0379 | 56.0 | 2016 | 0.0223 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0379 | 57.0 | 2052 | 0.0222 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0379 | 58.0 | 2088 | 0.0222 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0379 | 59.0 | 2124 | 0.0222 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0379 | 60.0 | 2160 | 0.0221 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0379 | 61.0 | 2196 | 0.0221 | 94.4944 | 72.0974 | 94.4944 | 94.6067 | 5.1292 |
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- | 0.0379 | 62.0 | 2232 | 0.0221 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
118
- | 0.0379 | 63.0 | 2268 | 0.0221 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
119
- | 0.0379 | 64.0 | 2304 | 0.0221 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0379 | 65.0 | 2340 | 0.0221 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0379 | 66.0 | 2376 | 0.0221 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0379 | 67.0 | 2412 | 0.0221 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0379 | 68.0 | 2448 | 0.0221 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0379 | 69.0 | 2484 | 0.0221 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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- | 0.0369 | 70.0 | 2520 | 0.0221 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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  ### Framework versions
 
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18
  This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
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+ - Loss: 0.0178
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+ - Rouge1: 95.5056
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+ - Rouge2: 72.8464
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+ - Rougel: 95.3933
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+ - Rougelsum: 95.5056
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+ - Gen Len: 5.1517
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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 | 36 | 0.0219 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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+ | No log | 2.0 | 72 | 0.0218 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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+ | No log | 3.0 | 108 | 0.0215 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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+ | No log | 4.0 | 144 | 0.0215 | 95.0562 | 72.6592 | 95.0562 | 95.0562 | 5.1573 |
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+ | No log | 5.0 | 180 | 0.0214 | 95.0562 | 72.6592 | 95.0562 | 95.0562 | 5.1517 |
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+ | No log | 6.0 | 216 | 0.0212 | 94.8315 | 72.6592 | 94.8315 | 94.8876 | 5.1348 |
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+ | No log | 7.0 | 252 | 0.0209 | 94.6067 | 72.6592 | 94.6067 | 94.6067 | 5.1292 |
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+ | No log | 8.0 | 288 | 0.0210 | 94.8876 | 72.0974 | 94.7753 | 94.8315 | 5.1236 |
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+ | No log | 9.0 | 324 | 0.0208 | 94.8876 | 72.0974 | 94.7753 | 94.8315 | 5.1236 |
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+ | No log | 10.0 | 360 | 0.0210 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1404 |
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+ | No log | 11.0 | 396 | 0.0207 | 95.6742 | 72.6592 | 95.618 | 95.6742 | 5.1573 |
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+ | No log | 12.0 | 432 | 0.0207 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1461 |
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+ | No log | 13.0 | 468 | 0.0206 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1404 |
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+ | 0.0349 | 14.0 | 504 | 0.0203 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0349 | 15.0 | 540 | 0.0202 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0349 | 16.0 | 576 | 0.0201 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1404 |
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+ | 0.0349 | 17.0 | 612 | 0.0201 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1404 |
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+ | 0.0349 | 18.0 | 648 | 0.0196 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1404 |
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+ | 0.0349 | 19.0 | 684 | 0.0194 | 95.2247 | 72.2846 | 95.1124 | 95.2247 | 5.1629 |
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+ | 0.0349 | 20.0 | 720 | 0.0192 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1404 |
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+ | 0.0349 | 21.0 | 756 | 0.0192 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0349 | 22.0 | 792 | 0.0193 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
78
+ | 0.0349 | 23.0 | 828 | 0.0193 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
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+ | 0.0349 | 24.0 | 864 | 0.0194 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0349 | 25.0 | 900 | 0.0193 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0349 | 26.0 | 936 | 0.0194 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0349 | 27.0 | 972 | 0.0193 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0315 | 28.0 | 1008 | 0.0192 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0315 | 29.0 | 1044 | 0.0190 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
85
+ | 0.0315 | 30.0 | 1080 | 0.0191 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0315 | 31.0 | 1116 | 0.0190 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0315 | 32.0 | 1152 | 0.0191 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0315 | 33.0 | 1188 | 0.0190 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1404 |
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+ | 0.0315 | 34.0 | 1224 | 0.0190 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1404 |
90
+ | 0.0315 | 35.0 | 1260 | 0.0188 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1404 |
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+ | 0.0315 | 36.0 | 1296 | 0.0187 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1404 |
92
+ | 0.0315 | 37.0 | 1332 | 0.0186 | 95.1124 | 72.0974 | 95.0 | 95.1124 | 5.1404 |
93
+ | 0.0315 | 38.0 | 1368 | 0.0186 | 95.2247 | 72.2846 | 95.1124 | 95.2247 | 5.1461 |
94
+ | 0.0315 | 39.0 | 1404 | 0.0186 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
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+ | 0.0315 | 40.0 | 1440 | 0.0186 | 95.3933 | 72.6592 | 95.2809 | 95.3933 | 5.1461 |
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+ | 0.0315 | 41.0 | 1476 | 0.0185 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
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+ | 0.0291 | 42.0 | 1512 | 0.0184 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
98
+ | 0.0291 | 43.0 | 1548 | 0.0184 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
99
+ | 0.0291 | 44.0 | 1584 | 0.0184 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
100
+ | 0.0291 | 45.0 | 1620 | 0.0183 | 95.618 | 73.0337 | 95.5056 | 95.618 | 5.1742 |
101
+ | 0.0291 | 46.0 | 1656 | 0.0182 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
102
+ | 0.0291 | 47.0 | 1692 | 0.0182 | 95.618 | 73.0337 | 95.5056 | 95.618 | 5.1742 |
103
+ | 0.0291 | 48.0 | 1728 | 0.0182 | 95.618 | 73.0337 | 95.5056 | 95.618 | 5.1742 |
104
+ | 0.0291 | 49.0 | 1764 | 0.0182 | 95.618 | 73.0337 | 95.5056 | 95.618 | 5.1742 |
105
+ | 0.0291 | 50.0 | 1800 | 0.0182 | 95.618 | 73.0337 | 95.5056 | 95.618 | 5.1742 |
106
+ | 0.0291 | 51.0 | 1836 | 0.0182 | 95.618 | 73.0337 | 95.5056 | 95.618 | 5.1742 |
107
+ | 0.0291 | 52.0 | 1872 | 0.0181 | 95.618 | 73.0337 | 95.5056 | 95.618 | 5.1742 |
108
+ | 0.0291 | 53.0 | 1908 | 0.0179 | 95.2247 | 72.2846 | 95.1124 | 95.2247 | 5.1461 |
109
+ | 0.0291 | 54.0 | 1944 | 0.0179 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
110
+ | 0.0291 | 55.0 | 1980 | 0.0179 | 95.618 | 73.0337 | 95.5056 | 95.618 | 5.1742 |
111
+ | 0.0279 | 56.0 | 2016 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
112
+ | 0.0279 | 57.0 | 2052 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
113
+ | 0.0279 | 58.0 | 2088 | 0.0177 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
114
+ | 0.0279 | 59.0 | 2124 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
115
+ | 0.0279 | 60.0 | 2160 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
116
+ | 0.0279 | 61.0 | 2196 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
117
+ | 0.0279 | 62.0 | 2232 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
118
+ | 0.0279 | 63.0 | 2268 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
119
+ | 0.0279 | 64.0 | 2304 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
120
+ | 0.0279 | 65.0 | 2340 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
121
+ | 0.0279 | 66.0 | 2376 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
122
+ | 0.0279 | 67.0 | 2412 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
123
+ | 0.0279 | 68.0 | 2448 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
124
+ | 0.0279 | 69.0 | 2484 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
125
+ | 0.0274 | 70.0 | 2520 | 0.0178 | 95.5056 | 72.8464 | 95.3933 | 95.5056 | 5.1517 |
126
 
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  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
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  size 62293080
 
1
  version https://git-lfs.github.com/spec/v1
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+ oid sha256:f1d249a26095f7a20e73f2a041132ee9106846f5e510d88932d574dbf481e381
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  size 62293080