readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: longformer-qmsum-meeting-summarization
    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. -->
  
  # longformer-qmsum-meeting-summarization
  
  This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.2055
  - Rouge1: 20.5333
  - Rouge2: 7.6756
  - Rougel: 16.2531
  - Rougelsum: 19.0336
  - Gen Len: 20.0
  
  ## 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: 3e-07
  - 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
  - lr_scheduler_warmup_steps: 500
  - num_epochs: 200
  - label_smoothing_factor: 0.1
  
  ### Training results
  
  | Training Loss | Epoch  | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:------:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 5.4071        | 1.09   | 100   | 5.2910          | 6.012   | 0.5556 | 4.936   | 5.6141    | 20.0    |
  | 5.269         | 2.17   | 200   | 5.1446          | 6.7419  | 0.9713 | 5.2774  | 6.3003    | 20.0    |
  | 5.1153        | 3.26   | 300   | 4.9976          | 8.1369  | 1.2365 | 6.391   | 7.5911    | 20.0    |
  | 4.9888        | 4.35   | 400   | 4.8763          | 9.9113  | 1.4239 | 8.0574  | 9.3442    | 20.0    |
  | 4.8687        | 5.43   | 500   | 4.7889          | 10.504  | 1.5638 | 8.1191  | 9.817     | 20.0    |
  | 4.7936        | 6.52   | 600   | 4.7226          | 12.6475 | 2.4733 | 9.968   | 11.541    | 20.0    |
  | 4.713         | 7.61   | 700   | 4.6770          | 15.2998 | 3.6209 | 11.8629 | 14.2323   | 20.0    |
  | 4.6843        | 8.7    | 800   | 4.6428          | 15.8299 | 4.4128 | 12.7301 | 14.8795   | 20.0    |
  | 4.6453        | 9.78   | 900   | 4.6105          | 16.3702 | 4.7356 | 13.1566 | 15.4497   | 20.0    |
  | 4.6212        | 10.87  | 1000  | 4.5849          | 16.9765 | 5.1101 | 13.617  | 15.9401   | 20.0    |
  | 4.5761        | 11.96  | 1100  | 4.5649          | 17.3024 | 5.2494 | 13.79   | 16.3173   | 20.0    |
  | 4.564         | 13.04  | 1200  | 4.5447          | 18.7699 | 6.2331 | 14.8264 | 17.645    | 20.0    |
  | 4.5393        | 14.13  | 1300  | 4.5277          | 19.1495 | 6.6082 | 15.1392 | 18.2546   | 20.0    |
  | 4.5069        | 15.22  | 1400  | 4.5132          | 20.3648 | 7.3895 | 16.018  | 19.1503   | 20.0    |
  | 4.4985        | 16.3   | 1500  | 4.4973          | 20.165  | 7.3477 | 16.1161 | 18.7585   | 20.0    |
  | 4.4476        | 17.39  | 1600  | 4.4859          | 20.4691 | 7.5734 | 16.438  | 19.1045   | 20.0    |
  | 4.4421        | 18.48  | 1700  | 4.4758          | 20.4402 | 7.7674 | 16.3998 | 19.1045   | 20.0    |
  | 4.4554        | 19.57  | 1800  | 4.4648          | 20.5992 | 7.3522 | 16.185  | 19.2869   | 20.0    |
  | 4.4138        | 20.65  | 1900  | 4.4560          | 20.497  | 7.1732 | 16.2177 | 19.0912   | 20.0    |
  | 4.4447        | 21.74  | 2000  | 4.4465          | 21.2936 | 7.8856 | 16.8994 | 19.7994   | 20.0    |
  | 4.3636        | 22.83  | 2100  | 4.4373          | 21.1015 | 7.6466 | 16.787  | 19.6918   | 20.0    |
  | 4.3647        | 23.91  | 2200  | 4.4288          | 21.3408 | 7.8052 | 17.1431 | 20.1456   | 20.0    |
  | 4.3707        | 25.0   | 2300  | 4.4217          | 21.523  | 8.017  | 17.1586 | 20.2724   | 20.0    |
  | 4.3503        | 26.09  | 2400  | 4.4145          | 21.485  | 8.015  | 17.064  | 20.209    | 20.0    |
  | 4.3295        | 27.17  | 2500  | 4.4069          | 21.5167 | 7.6749 | 16.9976 | 20.265    | 20.0    |
  | 4.3444        | 28.26  | 2600  | 4.4004          | 21.748  | 7.8808 | 17.1592 | 20.4054   | 20.0    |
  | 4.3135        | 29.35  | 2700  | 4.3958          | 21.5523 | 7.5449 | 17.2103 | 20.5405   | 20.0    |
  | 4.3028        | 30.43  | 2800  | 4.3880          | 21.3016 | 7.6531 | 17.1515 | 20.3301   | 20.0    |
  | 4.3406        | 31.52  | 2900  | 4.3834          | 21.4169 | 7.5647 | 16.9477 | 20.3379   | 20.0    |
  | 4.286         | 32.61  | 3000  | 4.3760          | 21.4684 | 7.4776 | 17.1018 | 20.5254   | 20.0    |
  | 4.2717        | 33.7   | 3100  | 4.3736          | 21.596  | 7.514  | 17.164  | 20.6272   | 20.0    |
  | 4.285         | 34.78  | 3200  | 4.3666          | 21.3495 | 7.676  | 17.0703 | 20.3182   | 20.0    |
  | 4.2496        | 35.87  | 3300  | 4.3628          | 21.5539 | 7.6574 | 17.1393 | 20.5116   | 20.0    |
  | 4.2618        | 36.96  | 3400  | 4.3591          | 21.08   | 7.6814 | 16.6941 | 20.2386   | 20.0    |
  | 4.255         | 38.04  | 3500  | 4.3522