readme: ---
  tags:
  - summarization
  - generated_from_trainer
  datasets:
  - samsum
  metrics:
  - rouge
  model-index:
  - name: ssr-base-finetuned-samsum-en
    results:
    - task:
        type: text2text-generation
        name: Sequence-to-sequence Language Modeling
      dataset:
        name: samsum
        type: samsum
        args: samsum
      metrics:
      - type: rouge
        value: 46.7505
        name: Rouge1
    - task:
        type: summarization
        name: Summarization
      dataset:
        name: samsum
        type: samsum
        config: samsum
        split: test
      metrics:
      - type: rouge
        value: 46.2529
        name: ROUGE-1
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZGJmOWYwMDk4MWI1YWY2MjdkNTYyZThmNDU4Y2JiMTIzNWQyZjViNDk2NWUyNzZkMWQxM2E2NWY1MjI3M2YxNSIsInZlcnNpb24iOjF9.yTvrays_YII7mGi0KedYNgJb771vRVtjmcH0kygTU5_RH4_A_nZArpjJ6b5InwlTeW9YMn_MNkC9KFfUBPecCA
      - type: rouge
        value: 21.3374
        name: ROUGE-2
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2U0ZTBlNWJiYWQyZjA2ZDJjZTMzMDlkZTVkYTBkOGJmMDJmZTRjODFhMWRmMzAzYTI0ZGZlMjMxZTI1MWRjOSIsInZlcnNpb24iOjF9.cFQNgQwfCH6CYgamikt_qz2JB0PMu2f3TEHvE6yQHWf4DDAtDfb7bR0kHRIHLOBSVuEUEo52B4YCSIAkapJ3Bw
      - type: rouge
        value: 36.1939
        name: ROUGE-L
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGE1NDBhOTFjOTNlMzhhN2U3NWE4OWNkOWQ1MWY0MmYwYmYzNzViZDE4YjdhMTg0ZTlkNmQ1N2U2YzA1ZmU2YSIsInZlcnNpb24iOjF9.WYJiCb8wQkLsIxnfd_4uQUvs2qOhPm9zntOz9nCNf0jNxs0qzcr9gClr60WYinR3MYk9JQNg6yz1MvD_X9STBA
      - type: rouge
        value: 42.2937
        name: ROUGE-LSUM
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYjNiNGFhMmUxYzQ2ZDM3MjllMWRiNDhmMDllMWMwNGMxNjJmMzdhZjdhOTIyNmZhYjdiYjU3ZTM5NmYyNmVmYiIsInZlcnNpb24iOjF9.8Mm175eGDOzfDPskAMySSNmuLGss-ZS-lPwQrMlwP_tTF29zIrZFIUeyRbXb8SjAL_RfeDNm2hwXG7tnGjLQDg
      - type: loss
        value: 2.0463898181915283
        name: loss
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzhiZmNiYmRkMzRhMjFkMDgzNmRiYWU5YWI2N2QzZDMyNTBjZWQ3YWM5Y2IxYWE5ZmJhNzIxZGE5MDRjODFjOCIsInZlcnNpb24iOjF9.CUGc-6fdSzNEHeFuyvsW9KXwkg1ca64JfCuIJlrZJ8KDWbrZF0g8FvI4Vr2YG1uoz65678MkJJnzbYlHFrPxBg
      - type: gen_len
        value: 31.3724
        name: gen_len
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzIwZjUwNTExNzk2ZmMzOTE1M2EwMDAyMjg5M2Y1OWY4NzVhOWY1ZDczNzA4NTlhNWY2NDZiOGE1NDNkNmU3NCIsInZlcnNpb24iOjF9.QRkcqUN_Zn3XPbjVs0qdC0LVnTLdzzX1VqQN6g0bE-BPLzk2sP5IsSLagpVqKdA7FLXiFFbdQKRc_hFLPwNvCg
  ---
  
  <!-- 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. -->
  
  # ssr-base-finetuned-samsum-en
  
  This model is a fine-tuned version of [microsoft/ssr-base](https://huggingface.co/microsoft/ssr-base) on the samsum dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6231
  - Rouge1: 46.7505
  - Rouge2: 22.3968
  - Rougel: 37.1784
  - Rougelsum: 42.891
  
  ## 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: 10
  - eval_batch_size: 10
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | 1.9682        | 1.0   | 300  | 1.6432          | 44.2182 | 20.8486 | 35.0914 | 40.9852   |
  | 1.6475        | 2.0   | 600  | 1.5946          | 45.3919 | 21.6955 | 36.2411 | 41.8532   |
  | 1.5121        | 3.0   | 900  | 1.5737          | 46.1769 | 22.4178 | 36.9762 | 42.6614   |
  | 1.4112        | 4.0   | 1200 | 1.5774          | 46.6047 | 22.8227 | 37.2457 | 43.1935   |
  | 1.323         | 5.0   | 1500 | 1.5825          | 46.6162 | 22.485  | 37.2846 | 42.9834   |
  | 1.2613        | 6.0   | 1800 | 1.5883          | 46.4253 | 22.1199 | 37.0491 | 42.5189   |
  | 1.2077        | 7.0   | 2100 | 1.5965          | 46.485  | 22.3636 | 37.2677 | 42.7499   |
  | 1.1697        | 8.0   | 2400 | 1.6174          | 46.8654 | 22.6291 | 37.4201 | 43.0875   |
  | 1.1367        | 9.0   | 2700 | 1.6188          | 46.707  | 22.305  | 37.156  | 42.9087   |
  | 1.118         | 10.0  | 3000 | 1.6231          | 46.7505 | 22.3968 | 37.1784 | 42.891    |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  