readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: TGL-3
    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. -->
  
  # TGL-3
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an abstract-summary dataset, 
  13000 pieces of data for training. The data was acquired by openreview.net.
  It achieves the following results on the evaluation set:
  - Loss: 2.4435
  - Rouge1: 36.4998
  - Rouge2: 17.8322
  - Rougel: 31.8632
  - Rougelsum: 31.8341
  
  ## Model description
  
  Here is the paper https://arxiv.org/abs/1910.10683
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | 2.9096        | 1.0   | 1240 | 2.5721          | 36.234  | 17.8214 | 31.5514 | 31.5549   |
  | 2.7259        | 2.0   | 2480 | 2.5258          | 36.2572 | 17.9912 | 31.6249 | 31.6441   |
  | 2.6434        | 3.0   | 3720 | 2.4957          | 36.4623 | 17.9657 | 31.7693 | 31.7542   |
  | 2.5896        | 4.0   | 4960 | 2.4663          | 36.3692 | 17.8372 | 31.5909 | 31.6089   |
  | 2.5491        | 5.0   | 6200 | 2.4511          | 36.4775 | 17.8094 | 31.8102 | 31.8003   |
  | 2.5183        | 6.0   | 7440 | 2.4440          | 36.5892 | 17.906  | 31.9058 | 31.8985   |
  | 2.4997        | 7.0   | 8680 | 2.4438          | 36.3747 | 17.8309 | 31.7314 | 31.7178   |
  | 2.4863        | 8.0   | 9920 | 2.4435          | 36.4998 | 17.8322 | 31.8632 | 31.8341   |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  