readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-base-devices-sum-ver1
    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-ver1
  
  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: 0.0935
  - Rouge1: 97.2294
  - Rouge2: 80.1323
  - Rougel: 97.245
  - Rougelsum: 97.2763
  - Gen Len: 4.9507
  
  ## 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   | 186  | 0.2461          | 91.9436 | 71.232  | 91.9417 | 91.9585   | 4.6644  |
  | No log        | 2.0   | 372  | 0.1580          | 94.5247 | 76.1321 | 94.5044 | 94.5382   | 4.8953  |
  | 0.488         | 3.0   | 558  | 0.1239          | 95.8673 | 78.1183 | 95.8862 | 95.8919   | 4.9102  |
  | 0.488         | 4.0   | 744  | 0.1100          | 96.5746 | 78.9878 | 96.5848 | 96.5831   | 4.9102  |
  | 0.488         | 5.0   | 930  | 0.1008          | 96.9074 | 79.5536 | 96.9143 | 96.9317   | 4.9291  |
  | 0.1303        | 6.0   | 1116 | 0.0974          | 96.9274 | 79.6953 | 96.933  | 96.9473   | 4.9291  |
  | 0.1303        | 7.0   | 1302 | 0.0969          | 96.8041 | 79.5073 | 96.817  | 96.8266   | 4.9271  |
  | 0.1303        | 8.0   | 1488 | 0.0945          | 97.1496 | 79.9757 | 97.1529 | 97.1779   | 4.9534  |
  | 0.089         | 9.0   | 1674 | 0.0944          | 97.253  | 80.1236 | 97.2619 | 97.2899   | 4.9595  |
  | 0.089         | 10.0  | 1860 | 0.0935          | 97.2294 | 80.1323 | 97.245  | 97.2763   | 4.9507  |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  