readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: bart-large-cnn-finetuned-roundup-64
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # bart-large-cnn-finetuned-roundup-64
  
  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.4772
  - Rouge1: 46.5444
  - Rouge2: 27.4056
  - Rougel: 29.6779
  - Rougelsum: 44.0905
  - Gen Len: 142.0
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 2e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 64
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 132  | 1.3213          | 48.3389 | 28.6641 | 31.4086 | 45.6679   | 142.0   |
  | No log        | 2.0   | 264  | 1.2325          | 48.798  | 29.3068 | 31.4329 | 45.7945   | 142.0   |
  | No log        | 3.0   | 396  | 1.2791          | 47.1449 | 27.3965 | 30.56   | 44.4704   | 142.0   |
  | 0.9574        | 4.0   | 528  | 1.3134          | 46.2319 | 25.6249 | 28.7673 | 43.7555   | 140.3   |
  | 0.9574        | 5.0   | 660  | 1.3187          | 46.7313 | 25.3467 | 29.3873 | 43.9495   | 142.0   |
  | 0.9574        | 6.0   | 792  | 1.4271          | 48.1638 | 27.8874 | 30.5334 | 45.9944   | 142.0   |
  | 0.9574        | 7.0   | 924  | 1.4876          | 46.7481 | 25.7259 | 29.7214 | 43.7042   | 140.5   |
  | 0.3303        | 8.0   | 1056 | 1.5259          | 46.7075 | 26.0716 | 29.5521 | 43.7312   | 142.0   |
  | 0.3303        | 9.0   | 1188 | 1.6223          | 48.012  | 27.2795 | 30.4989 | 45.4644   | 142.0   |
  | 0.3303        | 10.0  | 1320 | 1.6842          | 48.0074 | 26.8831 | 29.3396 | 45.1937   | 142.0   |
  | 0.3303        | 11.0  | 1452 | 1.7317          | 46.52   | 26.5152 | 29.5124 | 43.8797   | 142.0   |
  | 0.1478        | 12.0  | 1584 | 1.8087          | 47.5887 | 27.0488 | 29.8569 | 44.7318   | 140.8   |
  | 0.1478        | 13.0  | 1716 | 1.8263          | 46.1251 | 25.8576 | 30.1698 | 42.7228   | 142.0   |
  | 0.1478        | 14.0  | 1848 | 1.9459          | 46.4034 | 25.7039 | 28.2542 | 43.7254   | 142.0   |
  | 0.1478        | 15.0  | 1980 | 1.9539          | 44.4666 | 24.5827 | 27.7147 | 41.9769   | 142.0   |
  | 0.0779        | 16.0  | 2112 | 1.9654          | 47.2267 | 26.4562 | 29.7352 | 44.0823   | 142.0   |
  | 0.0779        | 17.0  | 2244 | 1.9580          | 48.5086 | 28.0294 | 30.8311 | 45.6336   | 142.0   |
  | 0.0779        | 18.0  | 2376 | 2.0065          | 48.293  | 28.5678 | 30.0243 | 45.1384   | 142.0   |
  | 0.0499        | 19.0  | 2508 | 1.9313          | 49.0549 | 28.9695 | 32.0711 | 46.3834   | 142.0   |
  | 0.0499        | 20.0  | 2640 | 2.0176          | 47.0121 | 25.1606 | 29.0108 | 44.1556   | 142.0   |
  | 0.0499        | 21.0  | 2772 | 2.0711          | 48.3754 | 28.2221 | 30.772  | 45.8547   | 140.95  |
  | 0.0499        | 22.0  | 2904 | 2.0848          | 45.7392 | 25.254  | 29.0833 | 43.0381   | 142.0   |
  | 0.0335        | 23.0  | 3036 | 2.0711          | 47.2931 | 27.4573 | 30.718  | 44.5932   | 142.0   |
  | 0.0335        | 24.0  | 3168 | 2.1200          | 50.515  | 30.4253 | 33.7045 | 47.6158   | 142.0   |
  | 0.0335        | 25.0  | 3300 | 2.1097          | 46.4737 | 26.3055 | 29.0148 | 43.2135   | 142.0   |
  | 0.0335        | 26.0  | 3432 | 2.1695          | 46.9099 | 26.5227 | 29.7757 | 44.0613   | 142.0   |
  | 0.0249        | 27.0  | 3564 | 2.1494          | 47.8319 | 27.6364 | 31.3593 | 45.065    | 141.95  |
  | 0.0249        | 28.0  | 3696 | 2.1510          | 47.504  | 26.8971 | 31.7196 | 45.0328   | 142.0   |
  | 0.0249        | 29.0  | 3828 | 2.1612          | 46.8789 | 27.266  | 30.1009 | 43.8248   | 142.0   |
  | 0.0249        | 30.0  | 3960 | 2.1579          | 47.7012 | 27.7761 | 30.935  | 44.3686   | 142.0   |
  | 0.018         | 31.0  | 4092 | 2.1981          | 48.4703 | 29.167  | 31.9815 | 45.8005   | 142.0   |
  | 0.018         | 32.0  | 4224 | 2.2332          | 45.9512 | 25.8111 | 29.2467 | 42.9234   | 142.0   |
  | 0.018         | 33.0  | 4356 | 2.1944          | 47.7189 | 28.1413 | 30.9692 | 44.9361   | 142.0   |
  | 0.018         | 34.0  | 4488 | 2.2589          | 50.9687 | 32.3987 | 36.5644 | 48.3938   | 142.0   |
  | 0.0132        | 35.0  | 4620 | 2.2269          | 47.8241 | 28.0442 | 31.5535 | 44.9394   | 142.0   |
  | 0.01