readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-finetuned-NYT
    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. -->
  
  # t5-finetuned-NYT
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.2519
  - Rouge1: 45.692
  - Rouge2: 32.1167
  - Rougel: 44.3548
  - Rougelsum: 44.3959
  
  ## 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: 5.6e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | No log        | 1.0   | 2516  | 2.4293          | 38.1445 | 25.9377 | 36.5758 | 36.6165   |
  | No log        | 2.0   | 5032  | 2.3661          | 40.356  | 27.7563 | 38.993  | 39.036    |
  | No log        | 3.0   | 7548  | 2.3225          | 43.6557 | 30.2246 | 42.2529 | 42.2804   |
  | No log        | 4.0   | 10064 | 2.2852          | 43.7584 | 30.4744 | 42.3437 | 42.3871   |
  | No log        | 5.0   | 12580 | 2.2677          | 45.6522 | 32.0921 | 44.311  | 44.3587   |
  | No log        | 6.0   | 15096 | 2.2598          | 45.4426 | 31.7845 | 44.1273 | 44.1394   |
  | No log        | 7.0   | 17612 | 2.2529          | 45.6841 | 32.1469 | 44.3355 | 44.37     |
  | 3.2998        | 8.0   | 20128 | 2.2519          | 45.692  | 32.1167 | 44.3548 | 44.3959   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  