readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - samsum
  metrics:
  - rouge
  model-index:
  - name: flan-t5-large-finetuned-samsum-2
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: samsum
        type: samsum
        config: samsum
        split: train
        args: samsum
      metrics:
      - name: Rouge1
        type: rouge
        value: 49.3339
  
  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. -->
  
  # flan-t5-large-finetuned-samsum-2
  
  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the samsum dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.2143
  - Rouge1: 49.3339
  - Rouge2: 25.6711
  - Rougel: 41.9672
  - Rougelsum: 45.5636
  - Gen Len: 17.3504
  
  ## 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-06
  - train_batch_size: 8
  - eval_batch_size: 8
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
  | 1.1906        | 1.0   | 1842 | 1.2211          | 49.2035 | 25.36   | 41.7117 | 45.3746   | 17.3761 |
  | 1.1441        | 2.0   | 3684 | 1.2168          | 49.3485 | 25.488  | 41.8996 | 45.4621   | 17.2882 |
  | 1.1327        | 3.0   | 5526 | 1.2150          | 49.6279 | 25.8807 | 42.1862 | 45.7906   | 17.3858 |
  | 1.1181        | 4.0   | 7368 | 1.2143          | 49.3339 | 25.6711 | 41.9672 | 45.5636   | 17.3504 |
  | 1.0973        | 5.0   | 9210 | 1.2149          | 49.3509 | 25.7362 | 41.9252 | 45.5451   | 17.3480 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  