readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: KoT5-test-add-data-prefix-summary
    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-add-data-prefix-summary
  
  This model is a fine-tuned version of [hyorea1/KoT5-test-add-data-prefix-summary](https://huggingface.co/hyorea1/KoT5-test-add-data-prefix-summary) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1781
  - Rouge1: 11.8533
  - Rouge2: 2.9172
  - Rougel: 11.715
  - Rougelsum: 11.7278
  - Gen Len: 35.164
  
  ## 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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 1.4974        | 0.32  | 800  | 1.1935          | 11.0529 | 3.0383 | 10.9308 | 10.9481   | 34.8809 |
  | 1.0394        | 0.64  | 1600 | 1.1979          | 11.2828 | 2.8757 | 11.1691 | 11.1952   | 35.6412 |
  | 1.2385        | 0.97  | 2400 | 1.1914          | 10.8007 | 3.0248 | 10.696  | 10.7022   | 34.8081 |
  | 1.4298        | 1.29  | 3200 | 1.1916          | 10.8949 | 2.9547 | 10.8037 | 10.832    | 34.7934 |
  | 1.3735        | 1.61  | 4000 | 1.1887          | 11.8127 | 3.2642 | 11.7143 | 11.7263   | 35.4331 |
  | 1.5772        | 1.93  | 4800 | 1.1794          | 11.3157 | 3.1017 | 11.2215 | 11.2237   | 34.3051 |
  | 1.2179        | 2.25  | 5600 | 1.1809          | 11.841  | 2.8297 | 11.7283 | 11.7173   | 35.0522 |
  | 1.2903        | 2.58  | 6400 | 1.1779          | 11.6353 | 2.8495 | 11.5117 | 11.544    | 34.95   |
  | 1.461         | 2.9   | 7200 | 1.1781          | 11.8533 | 2.9172 | 11.715  | 11.7278   | 35.164  |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  