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training completed[prod]: pegasus-baseline-noes

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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: 1.3179
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  ## Model description
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@@ -46,14 +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 | 5.1004 |
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- | 5.3707 | 0.18 | 500 | 4.3752 |
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- | 5.3707 | 0.27 | 750 | 1.4387 |
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- | 2.5676 | 0.36 | 1000 | 1.3193 |
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- | 2.5676 | 0.46 | 1250 | 1.3070 |
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- | 1.4301 | 0.55 | 1500 | 1.3189 |
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- | 1.4301 | 0.64 | 1750 | 1.3252 |
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- | 1.4417 | 0.73 | 2000 | 1.3179 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: nan
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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 | 4.9954 |
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+ | 5.2592 | 0.18 | 500 | 4.3175 |
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+ | 5.2592 | 0.27 | 750 | 1.3074 |
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+ | 2.3819 | 0.35 | 1000 | 1.1987 |
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+ | 2.3819 | 0.44 | 1250 | 1.1678 |
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+ | 1.3113 | 0.53 | 1500 | 1.1491 |
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+ | 1.3113 | 0.62 | 1750 | 1.1369 |
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+ | 1.2158 | 0.71 | 2000 | 1.1273 |
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+ | 1.2158 | 0.8 | 2250 | 1.1165 |
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+ | 1.2119 | 0.89 | 2500 | 1.1137 |
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+ | 1.2119 | 0.98 | 2750 | 1.1147 |
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+ | 1.2307 | 1.06 | 3000 | 1.1210 |
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+ | 1.2307 | 1.15 | 3250 | 1.1246 |
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+ | 1.2107 | 1.24 | 3500 | 1.1269 |
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+ | 1.2107 | 1.33 | 3750 | 1.1372 |
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+ | 1.2185 | 1.42 | 4000 | 1.1432 |
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+ | 1.2185 | 1.51 | 4250 | 1.1467 |
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+ | 1.2556 | 1.6 | 4500 | 1.1465 |
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+ | 1.2556 | 1.68 | 4750 | 1.1412 |
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+ | 1.2257 | 1.77 | 5000 | 1.1393 |
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+ | 1.2257 | 1.86 | 5250 | nan |
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+ | 1.2298 | 1.95 | 5500 | nan |
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  ### Framework versions
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