readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-base-devices-sum-ver2
    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-base-devices-sum-ver2
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1919
  - Rouge1: 95.2959
  - Rouge2: 72.5788
  - Rougel: 95.292
  - Rougelsum: 95.3437
  - Gen Len: 4.5992
  
  ## 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   | 91   | 0.4308          | 87.5009 | 61.4165 | 87.6082 | 87.6628   | 4.3897  |
  | No log        | 2.0   | 182  | 0.2945          | 91.7111 | 66.9023 | 91.706  | 91.7348   | 4.4965  |
  | No log        | 3.0   | 273  | 0.2515          | 93.0416 | 68.8046 | 93.063  | 93.0907   | 4.516   |
  | No log        | 4.0   | 364  | 0.2259          | 94.2097 | 70.862  | 94.2438 | 94.2767   | 4.6283  |
  | No log        | 5.0   | 455  | 0.2148          | 94.7732 | 71.4693 | 94.78   | 94.8274   | 4.5936  |
  | 0.4603        | 6.0   | 546  | 0.2030          | 95.0207 | 71.7789 | 95.0212 | 95.0887   | 4.5798  |
  | 0.4603        | 7.0   | 637  | 0.1964          | 95.1482 | 72.3333 | 95.1651 | 95.202    | 4.6227  |
  | 0.4603        | 8.0   | 728  | 0.1929          | 95.3279 | 72.551  | 95.3459 | 95.3972   | 4.5825  |
  | 0.4603        | 9.0   | 819  | 0.1935          | 95.2413 | 72.5801 | 95.2372 | 95.3121   | 4.5992  |
  | 0.4603        | 10.0  | 910  | 0.1919          | 95.2959 | 72.5788 | 95.292  | 95.3437   | 4.5992  |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  