readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5_8_3e-5_datav2_min30_lp2_sample
    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_8_3e-5_datav2_min30_lp2_sample
  
  This model is a fine-tuned version of [KETI-AIR/ke-t5-large-ko](https://huggingface.co/KETI-AIR/ke-t5-large-ko) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 6.2375
  - Rouge1: 24.1102
  - Rouge2: 5.3137
  - Rougel: 16.1086
  - Bleu1: 18.6424
  - Bleu2: 8.0483
  - Bleu3: 2.7046
  - Bleu4: 0.7308
  - Gen Len: 36.4012
  
  ## 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: 3e-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
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 10.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Bleu1   | Bleu2  | Bleu3  | Bleu4  | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:-------:|:------:|:------:|:------:|:-------:|
  | 4.1641        | 1.04  | 5000  | 6.8094          | 21.6187 | 4.959  | 14.8344 | 16.9553 | 7.4791 | 2.8017 | 1.1852 | 38.0426 |
  | 3.1804        | 2.08  | 10000 | 5.6664          | 22.2631 | 5.127  | 15.5533 | 16.881  | 7.515  | 2.8628 | 1.0614 | 33.7325 |
  | 2.779         | 3.12  | 15000 | 5.3350          | 22.5781 | 5.1137 | 15.7717 | 16.8632 | 7.3067 | 2.7117 | 0.9906 | 31.459  |
  | 2.4111        | 4.15  | 20000 | 5.2687          | 24.4915 | 6.003  | 16.8096 | 18.5998 | 8.54   | 3.4084 | 1.1511 | 32.7477 |
  | 2.2192        | 5.19  | 25000 | 5.3300          | 24.9661 | 6.0773 | 16.8486 | 19.0105 | 8.6794 | 3.4052 | 1.3281 | 32.9696 |
  | 1.9306        | 6.23  | 30000 | 5.4806          | 24.8662 | 5.9711 | 16.235  | 19.2093 | 8.7044 | 3.2412 | 1.0675 | 35.0973 |
  | 1.6696        | 7.27  | 35000 | 5.6865          | 24.3913 | 5.6936 | 16.4663 | 18.5884 | 8.3035 | 2.9593 | 1.0997 | 34.617  |
  | 1.4566        | 8.31  | 40000 | 5.8677          | 24.9166 | 5.8251 | 16.647  | 19.0703 | 8.5159 | 3.3477 | 1.1257 | 35.1763 |
  | 1.2808        | 9.35  | 45000 | 6.2375          | 24.1102 | 5.3137 | 16.1086 | 18.6424 | 8.0483 | 2.7046 | 0.7308 | 36.4012 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  