readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: results
    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. -->
  
  # results
  
  This model is a fine-tuned version of [gagan3012/k2t](https://huggingface.co/gagan3012/k2t) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.5481
  - Rouge1: 65.0534
  - Rouge2: 45.7092
  - Rougel: 55.8222
  - Rougelsum: 57.1866
  - Gen Len: 17.8061
  
  ## 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: 32
  - eval_batch_size: 32
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 0.5049        | 1.0   | 1101 | 0.5527          | 65.0475 | 45.6298 | 55.8323 | 57.2102   | 17.7929 |
  | 0.4994        | 2.0   | 2202 | 0.5490          | 65.0567 | 45.7082 | 55.8808 | 57.2343   | 17.8005 |
  | 0.4969        | 3.0   | 3303 | 0.5481          | 65.0534 | 45.7092 | 55.8222 | 57.1866   | 17.8061 |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  