readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small-science-papers-NIPS
    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-small-science-papers-NIPS
  
  This model is a fine-tuned version of [Dagar/t5-small-science-papers](https://huggingface.co/Dagar/t5-small-science-papers) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 4.7566
  - Rouge1: 15.7066
  - Rouge2: 2.5654
  - Rougel: 11.4679
  - Rougelsum: 14.4017
  - Gen Len: 19.0
  
  ## 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: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | No log        | 1.0   | 318  | 5.1856          | 13.7172 | 2.0644 | 10.2189 | 12.838    | 19.0    |
  | 5.4522        | 2.0   | 636  | 5.0383          | 15.6211 | 2.1808 | 11.3561 | 14.3054   | 19.0    |
  | 5.4522        | 3.0   | 954  | 4.9486          | 15.1659 | 2.3308 | 11.1052 | 13.9456   | 19.0    |
  | 5.1254        | 4.0   | 1272 | 4.8851          | 15.716  | 2.4099 | 11.4954 | 14.5099   | 19.0    |
  | 4.9794        | 5.0   | 1590 | 4.8456          | 15.5507 | 2.4267 | 11.3867 | 14.3237   | 19.0    |
  | 4.9794        | 6.0   | 1908 | 4.8073          | 15.8406 | 2.4254 | 11.6878 | 14.6154   | 19.0    |
  | 4.8823        | 7.0   | 2226 | 4.7872          | 15.5554 | 2.4637 | 11.3401 | 14.3183   | 19.0    |
  | 4.8338        | 8.0   | 2544 | 4.7680          | 15.4783 | 2.4888 | 11.3364 | 14.2031   | 19.0    |
  | 4.8338        | 9.0   | 2862 | 4.7621          | 15.958  | 2.5662 | 11.6139 | 14.6576   | 19.0    |
  | 4.7838        | 10.0  | 3180 | 4.7566          | 15.7066 | 2.5654 | 11.4679 | 14.4017   | 19.0    |
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  