readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: led-large-16384-arxiv-100-MDS
    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. -->
  
  # led-large-16384-arxiv-100-MDS
  
  This model is a fine-tuned version of [allenai/led-large-16384-arxiv](https://huggingface.co/allenai/led-large-16384-arxiv) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3897
  - Rouge1: 0.0
  - Rouge2: 0.0
  - Rougel: 0.0
  - Rougelsum: 0.0
  - Gen Len: 512.0
  
  ## 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: 5e-05
  - train_batch_size: 1
  - eval_batch_size: 1
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 4
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 2
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:-------:|
  | No log        | 1.0   | 25   | 3.1144          | 13.2756 | 2.6204 | 9.2686 | 10.2289   | 184.0   |
  | No log        | 2.0   | 50   | 3.3897          | 0.0     | 0.0    | 0.0    | 0.0       | 512.0   |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.10.2
  - Datasets 1.18.3
  - Tokenizers 0.11.0
  