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etav22
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pegasus-legalease

Text2Text Generation
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pegasus
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training completed[prod]: pegasus-abs2abs

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  1. README.md +9 -12
  2. model.safetensors +1 -1
  3. runs/Apr02_11-52-29_c34365d53564/events.out.tfevents.1712058759.c34365d53564.156.0 +2 -2
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: 1.2884
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  ## Model description
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@@ -46,17 +46,14 @@ 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 | 5.0798 |
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- | 5.3079 | 0.18 | 500 | 4.3798 |
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- | 5.3079 | 0.27 | 750 | 1.5384 |
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- | 2.6136 | 0.35 | 1000 | 1.3186 |
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- | 2.6136 | 0.44 | 1250 | 1.3018 |
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- | 1.4484 | 0.53 | 1500 | 1.2932 |
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- | 1.4484 | 0.62 | 1750 | 1.2865 |
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- | 1.4166 | 0.71 | 2000 | 1.2892 |
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- | 1.4166 | 0.8 | 2250 | 1.2883 |
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- | 1.4654 | 0.89 | 2500 | 1.2891 |
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- | 1.4654 | 0.98 | 2750 | 1.2884 |
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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: 1.3179
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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 | 5.1004 |
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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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runs/Apr02_11-52-29_c34365d53564/events.out.tfevents.1712058759.c34365d53564.156.0 CHANGED
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