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pegasus-legalease

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training completed[prod]:pegasus-baseline

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  1. README.md +28 -26
  2. runs/Mar16_21-57-37_a870977f2581/events.out.tfevents.1710626335.a870977f2581.1762.0 +2 -2
README.md CHANGED
@@ -1,16 +1,10 @@
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  ---
 
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  tags:
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  - generated_from_trainer
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  model-index:
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  - name: pegasus-legalease
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  results: []
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- datasets:
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- - hheiden/us-congress-117-bills
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- language:
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- - en
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- metrics:
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- - rouge
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- library_name: transformers
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,12 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # pegasus-legalease
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- This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Rouge1: 0.4632
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- - Rouge2: 0.3210
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- - RougeL: 0.4055
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- - Rougelsum: 0.4196
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  ## Model description
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@@ -48,29 +39,40 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 0.09 | 250 | 4.5607 |
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- | 4.8769 | 0.18 | 500 | 4.2187 |
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- | 4.8769 | 0.27 | 750 | 2.2905 |
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- | 2.9804 | 0.35 | 1000 | 1.1894 |
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- | 2.9804 | 0.44 | 1250 | 1.1604 |
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- | 1.3716 | 0.53 | 1500 | 1.1433 |
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- | 1.3716 | 0.62 | 1750 | 1.1318 |
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- | 1.2964 | 0.71 | 2000 | 1.1244 |
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- | 1.2964 | 0.8 | 2250 | 1.1188 |
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- | 1.248 | 0.89 | 2500 | 1.1152 |
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- | 1.248 | 0.98 | 2750 | 1.1142 |
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.38.2
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- - Pytorch 2.1.0+cu121
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  - Datasets 2.18.0
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- - Tokenizers 0.15.2
 
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  ---
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+ base_model: google/pegasus-xsum
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  tags:
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  - generated_from_trainer
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  model-index:
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  - name: pegasus-legalease
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  results: []
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # pegasus-legalease
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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: 1.0569
 
 
 
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 2
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.09 | 250 | 4.5676 |
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+ | 4.9309 | 0.18 | 500 | 4.1409 |
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+ | 4.9309 | 0.27 | 750 | 1.9459 |
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+ | 2.7387 | 0.35 | 1000 | 1.1953 |
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+ | 2.7387 | 0.44 | 1250 | 1.1557 |
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+ | 1.3603 | 0.53 | 1500 | 1.1350 |
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+ | 1.3603 | 0.62 | 1750 | 1.1189 |
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+ | 1.2237 | 0.71 | 2000 | 1.1092 |
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+ | 1.2237 | 0.8 | 2250 | 1.0976 |
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+ | 1.2113 | 0.89 | 2500 | 1.0931 |
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+ | 1.2113 | 0.98 | 2750 | 1.0854 |
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+ | 1.2057 | 1.06 | 3000 | 1.0787 |
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+ | 1.2057 | 1.15 | 3250 | 1.0759 |
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+ | 1.1613 | 1.24 | 3500 | 1.0714 |
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+ | 1.1613 | 1.33 | 3750 | 1.0680 |
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+ | 1.1379 | 1.42 | 4000 | 1.0662 |
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+ | 1.1379 | 1.51 | 4250 | 1.0634 |
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+ | 1.163 | 1.6 | 4500 | 1.0622 |
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+ | 1.163 | 1.68 | 4750 | 1.0600 |
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+ | 1.1271 | 1.77 | 5000 | 1.0587 |
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+ | 1.1271 | 1.86 | 5250 | 1.0574 |
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+ | 1.1358 | 1.95 | 5500 | 1.0569 |
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  ### Framework versions
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  - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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  - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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