readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  datasets:
  - samsum
  metrics:
  - rouge
  model-index:
  - name: bart-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: 46.8825
        name: Rouge1
    - task:
        type: summarization
        name: Summarization
      dataset:
        name: samsum
        type: samsum
        config: samsum
        split: test
      metrics:
      - type: rouge
        value: 45.0692
        name: ROUGE-1
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmJmZGIzMjdlODZhOThjMTFhYzM3NWJjOTNjMjkyN2U4NmE2YjViZmM0ZTBkNTU0NTc0YmZlMGY4NDI1NmM0YyIsInZlcnNpb24iOjF9.4p6xyMhFMia_Ms0bohyUchjrHhYvz7tH_O9LdeEK5FYF6pWEWs3Aw3i6LCc2HPnsge2ZKG-pzsRdbMJwO5w4Bg
      - type: rouge
        value: 20.9049
        name: ROUGE-2
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTY3OTVmM2E5ZmRjYzYzZmE3MGQwODNmMTk0MGJjMTRkMDQ2NGEwNGY0ZTA3OWJjODIzOWVkYTgwZjRjNzhkYiIsInZlcnNpb24iOjF9.YKFCR8fT38vuj9TA9wZHUNX6hmV0_m4yErKuuVvEBtWSwOmrzIrdSHVk40wSQomojTFFA9HRAZ_Ssf0rke_SAw
      - type: rouge
        value: 37.3128
        name: ROUGE-L
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDZhN2I5NDdjNTEwYzg2YTZlMWJkZDFmYmE0NDkzYmI4Mjg2YjVkYTQwMmEyMTEzZmI4YzBmMDg3OWY5MDQ0MiIsInZlcnNpb24iOjF9.RFrkndxIOt61Vs59zCdI09IXh349inPilhD-bXvpqfUKa92PTUNBqsumL8lzS4N7uEcfca1QYG4STEy_Efc9Dw
      - type: rouge
        value: 40.662
        name: ROUGE-LSUM
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGIxMjlkZjY3ZDNiOGQwM2FlNTExYjI5OGIwOGUxYTU4ZGFiNGRjOTU5MTFjMDQ2YWU2MzU3M2E0NTQ3Yjk4MiIsInZlcnNpb24iOjF9.AEJgh8jnUs0nyIsUj6mNxyqIzfFRVwqEowIMnK-xnSRbuMkCMEREeao4FSK2a0Cx5rNkXuEW4fBIRDrhyDKIBA
      - type: loss
        value: 5.763935565948486
        name: loss
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzc2Yzc5YjRjOGFjZmIwYTFiYzNiN2VmNzJiNjdlZmRhNjZlNzU4ZDc1OWE2MTk1MjQ5MGM0NDNmMDY3NTZmYiIsInZlcnNpb24iOjF9.r-Z0kcXf81IlDxT0yYoLjya7Uc3q6sJT0LxzhIdKVYc3mOoxPLMX1_vLQPX8fsIHIqPHPtKczfZ_z6mB0yptBg
      - type: gen_len
        value: 18.4921
        name: gen_len
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2NkYTg0MGFiYmJiZWI1ZjYzMGEzOGM1MGM2NjgyNzE2MTk2ZTc3MTQ2Mzg4Y2U5NTM3MDBiNTQ5YzUwNzAzYyIsInZlcnNpb24iOjF9.fn2kkheKjJJio6pcI0X0OWMEE08CuO35VrebfTNqTGJDV3U5O2f6Vf6RMo0d5b4N5X-E5-Ju-7k2CDxNi8CAAw
  ---
  
  <!-- 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. -->
  
  # bart-base-finetuned-samsum-en
  
  This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the samsum dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.3676
  - Rouge1: 46.8825
  - Rouge2: 22.0923
  - Rougel: 39.7249
  - Rougelsum: 42.9187
  
  ## 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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
  | 0.5172        | 1.0   | 300  | 2.1613          | 47.4152 | 22.8106 | 39.93   | 43.3639   |
  | 0.3627        | 2.0   | 600  | 2.2771          | 47.2676 | 22.6325 | 40.1345 | 43.19     |
  | 0.2466        | 3.0   | 900  | 2.3676          | 46.8825 | 22.0923 | 39.7249 | 42.9187   |
  
  
  ### Framework versions
  
  - Transformers 4.19.2
  - Pytorch 1.11.0+cu113
  - Datasets 2.2.2
  - Tokenizers 0.12.1
  