readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - samsum
  metrics:
  - rouge
  model-index:
  - name: switch-base-16-finetuned-samsum
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: samsum
        type: samsum
        config: samsum
        split: validation
        args: samsum
      metrics:
      - name: Rouge1
        type: rouge
        value: 47.2139
  
  widget:
    - text: |-
        Sid: Wanna catch a movie?
        Annie: sure what do you have in mind?
        Sid; the Aquaman? :D
        Annie: haha isn't it a bit childish
        Sid: noooooo I mean yes but it's the highest grossing movie this week
        Annie: seriously?
        Sid: yeah?
        Annie: okay let's see what the fuss is all about
  ---
  
  <!-- 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. -->
  
  # Switch Transformer (base-16) fine-tuned om samsum for conversation summarization
  
  This model is a fine-tuned version of [google/switch-base-16](https://huggingface.co/google/switch-base-16) on the samsum dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.4434
  - Rouge1: 47.2139
  - Rouge2: 23.3399
  - Rougel: 39.8364
  - Rougelsum: 43.2592
  - Gen Len: 16.9194
  
  ## 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: 4
  - eval_batch_size: 4
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 1.846         | 1.0   | 3683  | 1.4857          | 45.9134 | 22.4258 | 38.9716 | 42.6169   | 17.0623 |
  | 1.5734        | 2.0   | 7366  | 1.4346          | 47.574  | 24.2967 | 40.3749 | 44.2636   | 17.3790 |
  | 1.38          | 3.0   | 11049 | 1.4277          | 47.9915 | 24.9077 | 40.658  | 44.5301   | 17.1406 |
  | 1.2388        | 4.0   | 14732 | 1.4223          | 48.3444 | 25.4061 | 41.2776 | 45.0434   | 16.9254 |
  | 1.1629        | 5.0   | 18415 | 1.4372          | 48.5991 | 25.5464 | 41.3726 | 45.0784   | 16.9890 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.13.1+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  