readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: kobart_16_5.6e-5_datav2_min30_lp5.0_temperature1.0
    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. -->
  
  # kobart_16_5.6e-5_datav2_min30_lp5.0_temperature1.0
  
  This model is a fine-tuned version of [gogamza/kobart-base-v2](https://huggingface.co/gogamza/kobart-base-v2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.7174
  - Rouge1: 35.7621
  - Rouge2: 12.8914
  - Rougel: 23.6695
  - Bleu1: 29.9954
  - Bleu2: 17.513
  - Bleu3: 10.317
  - Bleu4: 5.8532
  - Gen Len: 49.3147
  
  ## 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: 5.6e-05
  - train_batch_size: 16
  - eval_batch_size: 128
  - 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: 5.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Bleu1   | Bleu2   | Bleu3  | Bleu4  | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:-------:|:------:|:------:|:-------:|
  | 1.9617        | 1.89  | 5000  | 2.6146          | 35.2828 | 12.4993 | 22.9894 | 29.2237 | 16.8919 | 9.7826 | 5.4461 | 48.0676 |
  | 1.5272        | 3.78  | 10000 | 2.7174          | 35.7621 | 12.8914 | 23.6695 | 29.9954 | 17.513  | 10.317 | 5.8532 | 49.3147 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  