readme: ---
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: 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. -->
  
  # test
  
  This model is a fine-tuned version of [Ameer05/tokenizer-repo](https://huggingface.co/Ameer05/tokenizer-repo) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6109
  - Rouge1: 54.9442
  - Rouge2: 45.3299
  - Rougel: 50.5219
  - Rougelsum: 53.6475
  
  ## 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: 5e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 32
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | No log        | 0.91  | 5    | 2.3705          | 53.62   | 44.3835 | 49.6135 | 52.693    |
  | No log        | 1.91  | 10   | 1.9035          | 47.478  | 37.0934 | 39.7935 | 45.1881   |
  | No log        | 2.91  | 15   | 1.7990          | 54.2488 | 45.0782 | 49.8421 | 52.7564   |
  | No log        | 3.91  | 20   | 1.7125          | 55.7903 | 46.7554 | 52.2733 | 54.9389   |
  | 2.4456        | 4.91  | 25   | 1.6421          | 52.2279 | 43.4391 | 49.6955 | 51.2915   |
  | 2.4456        | 5.91  | 30   | 1.6102          | 55.8598 | 47.3293 | 53.1337 | 54.8596   |
  | 2.4456        | 6.91  | 35   | 1.6164          | 53.7902 | 44.6622 | 49.5045 | 52.2304   |
  | 2.4456        | 7.91  | 40   | 1.6015          | 51.5597 | 42.0333 | 47.9639 | 50.1154   |
  | 1.239         | 8.91  | 45   | 1.6067          | 53.0301 | 43.7214 | 49.0227 | 51.8109   |
  | 1.239         | 9.91  | 50   | 1.6109          | 54.9442 | 45.3299 | 50.5219 | 53.6475   |
  
  
  ### Framework versions
  
  - Transformers 4.15.0
  - Pytorch 1.9.1
  - Datasets 2.0.0
  - Tokenizers 0.10.3
  