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training completed[prod]: pegasus-extractive-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: 1.2199
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  ## Model description
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@@ -46,21 +46,17 @@ 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 | 5.0708 |
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- | 5.3413 | 0.18 | 500 | 4.4545 |
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- | 5.3413 | 0.27 | 750 | 1.4978 |
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- | 2.6159 | 0.35 | 1000 | 1.2829 |
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- | 2.6159 | 0.44 | 1250 | 1.2490 |
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- | 1.398 | 0.53 | 1500 | 1.2307 |
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- | 1.398 | 0.62 | 1750 | 1.2240 |
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- | 1.3147 | 0.71 | 2000 | 1.2287 |
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- | 1.3147 | 0.8 | 2250 | 1.2275 |
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- | 1.3308 | 0.89 | 2500 | 1.2275 |
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- | 1.3308 | 0.98 | 2750 | 1.2199 |
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- | 1.349 | 1.06 | 3000 | 1.2183 |
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- | 1.349 | 1.15 | 3250 | 1.2185 |
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- | 1.3102 | 1.24 | 3500 | 1.2194 |
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- | 1.3102 | 1.33 | 3750 | 1.2199 |
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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: 1.2372
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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 | 5.0401 |
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+ | 5.3054 | 0.18 | 500 | 4.4391 |
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+ | 5.3054 | 0.27 | 750 | 1.5152 |
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+ | 2.5975 | 0.35 | 1000 | 1.2862 |
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+ | 2.5975 | 0.44 | 1250 | 1.2813 |
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+ | 1.4501 | 0.53 | 1500 | 1.2620 |
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+ | 1.4501 | 0.62 | 1750 | 1.2487 |
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+ | 1.4 | 0.71 | 2000 | 1.2405 |
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+ | 1.4 | 0.8 | 2250 | 1.2385 |
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+ | 1.4058 | 0.89 | 2500 | 1.2410 |
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+ | 1.4058 | 0.98 | 2750 | 1.2372 |
 
 
 
 
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  ### Framework versions
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