readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: KoT5-test
    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. -->
  
  # KoT5-test
  
  This model is a fine-tuned version of [hyorea1/KoT5-test](https://huggingface.co/hyorea1/KoT5-test) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1671
  - Rouge1: 12.2606
  - Rouge2: 2.9413
  - Rougel: 12.1602
  - Rougelsum: 12.1171
  - Gen Len: 34.7162
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 100
  - gradient_accumulation_steps: 2
  - total_train_batch_size: 8
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.1
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:-------:|:---------------:|:-------:|:------:|:-------:|:---------:|
  | 1.39          | 0.26  | 400  | 40.4846 | 1.2447          | 11.4691 | 2.9613 | 11.3903 | 11.2842   |
  | 1.6078        | 0.52  | 800  | 37.1794 | 1.2214          | 11.4047 | 2.8134 | 11.2911 | 11.2286   |
  | 1.2711        | 0.78  | 1200 | 36.1625 | 1.2092          | 11.3608 | 2.8542 | 11.2502 | 11.1927   |
  | 1.1407        | 1.05  | 1600 | 35.8515 | 1.1953          | 11.6278 | 2.6468 | 11.5164 | 11.4848   |
  | 1.3556        | 1.31  | 2000 | 35.8926 | 1.1911          | 11.5258 | 3.2315 | 11.4592 | 11.4318   |
  | 1.2502        | 1.57  | 2400 | 34.8743 | 1.1782          | 11.6087 | 3.0687 | 11.5359 | 11.4555   |
  | 1.1821        | 1.83  | 2800 | 35.35   | 1.1731          | 11.6414 | 3.2523 | 11.5635 | 11.4865   |
  | 1.5721        | 2.09  | 3200 | 35.5346 | 1.1740          | 11.9067 | 3.3382 | 11.8748 | 11.8156   |
  | 1.014         | 2.35  | 3600 | 1.1666  | 11.6128         | 3.1918  | 11.5348| 11.453  | 34.1853   |
  | 1.2737        | 2.61  | 4000 | 1.1711  | 12.2584         | 2.9711  | 12.2113| 12.1541 | 35.3162   |
  | 1.1664        | 2.88  | 4400 | 1.1623  | 12.4344         | 3.221   | 12.3251| 12.2923 | 34.5096   |
  | 1.0872        | 3.14  | 4800 | 1.1677  | 12.6984         | 3.1725  | 12.5901| 12.5768 | 34.5162   |
  | 0.9654        | 3.4   | 5200 | 1.1622  | 12.2024         | 3.3137  | 12.1166| 12.0733 | 33.7537   |
  | 1.2357        | 3.66  | 5600 | 1.1614  | 12.0954         | 3.0476  | 12.0709| 12.0331 | 34.5257   |
  | 1.0516        | 3.92  | 6000 | 1.1610  | 12.2234         | 3.2148  | 12.1003| 12.0567 | 34.5478   |
  | 0.9412        | 4.18  | 6400 | 1.1614  | 12.1884         | 3.1935  | 12.1168| 12.1024 | 34.4493   |
  | 1.2583        | 4.44  | 6800 | 1.1609  | 12.5444         | 3.2265  | 12.5044| 12.4172 | 34.8132   |
  | 1.122         | 4.71  | 7200 | 1.1639  | 12.2393         | 3.2752  | 12.1647| 12.1575 | 34.2728   |
  | 1.4178        | 4.97  | 7600 | 1.1629  | 12.4617         | 3.2909  | 12.3475| 12.3123 | 34.6971   |
  | 1.1506        | 5.23  | 8000 | 1.1671  | 12.2606         | 2.9413  | 12.1602| 12.1171 | 34.7162   |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  