etav22 commited on
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training completed[prod]: pegasus-bertsum-500

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README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1927
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  ## Model description
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@@ -46,28 +46,28 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 0.09 | 250 | 4.7237 |
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- | 5.061 | 0.18 | 500 | 4.3026 |
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- | 5.061 | 0.27 | 750 | 2.1449 |
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- | 2.8599 | 0.35 | 1000 | 1.3299 |
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- | 2.8599 | 0.44 | 1250 | 1.2940 |
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- | 1.4864 | 0.53 | 1500 | 1.2739 |
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- | 1.4864 | 0.62 | 1750 | 1.2594 |
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- | 1.3623 | 0.71 | 2000 | 1.2481 |
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- | 1.3623 | 0.8 | 2250 | 1.2395 |
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- | 1.3454 | 0.89 | 2500 | 1.2323 |
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- | 1.3454 | 0.98 | 2750 | 1.2245 |
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- | 1.3478 | 1.06 | 3000 | 1.2168 |
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- | 1.3478 | 1.15 | 3250 | 1.2128 |
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- | 1.2904 | 1.24 | 3500 | 1.2079 |
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- | 1.2904 | 1.33 | 3750 | 1.2048 |
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- | 1.279 | 1.42 | 4000 | 1.2027 |
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- | 1.279 | 1.51 | 4250 | 1.1998 |
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- | 1.2933 | 1.6 | 4500 | 1.1978 |
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- | 1.2933 | 1.68 | 4750 | 1.1958 |
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- | 1.2531 | 1.77 | 5000 | 1.1941 |
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- | 1.2531 | 1.86 | 5250 | 1.1933 |
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- | 1.2655 | 1.95 | 5500 | 1.1927 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3075
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.09 | 250 | 4.8425 |
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+ | 5.1341 | 0.18 | 500 | 4.4270 |
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+ | 5.1341 | 0.27 | 750 | 2.3842 |
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+ | 3.085 | 0.35 | 1000 | 1.4872 |
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+ | 3.085 | 0.44 | 1250 | 1.4106 |
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+ | 1.5869 | 0.53 | 1500 | 1.3878 |
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+ | 1.5869 | 0.62 | 1750 | 1.3722 |
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+ | 1.4772 | 0.71 | 2000 | 1.3606 |
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+ | 1.4772 | 0.8 | 2250 | 1.3496 |
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+ | 1.4554 | 0.89 | 2500 | 1.3444 |
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+ | 1.4554 | 0.98 | 2750 | 1.3373 |
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+ | 1.446 | 1.06 | 3000 | 1.3315 |
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+ | 1.446 | 1.15 | 3250 | 1.3261 |
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+ | 1.3998 | 1.24 | 3500 | 1.3219 |
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+ | 1.3998 | 1.33 | 3750 | 1.3195 |
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+ | 1.3779 | 1.42 | 4000 | 1.3160 |
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+ | 1.3779 | 1.51 | 4250 | 1.3143 |
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+ | 1.4063 | 1.6 | 4500 | 1.3120 |
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+ | 1.4063 | 1.68 | 4750 | 1.3105 |
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+ | 1.3697 | 1.77 | 5000 | 1.3092 |
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+ | 1.3697 | 1.86 | 5250 | 1.3080 |
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+ | 1.3879 | 1.95 | 5500 | 1.3075 |
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  ### Framework versions
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