readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: flan-t5-large-extraction-cnndm_fs0.1-all
    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. -->
  
  # flan-t5-large-extraction-cnndm_fs0.1-all
  
  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6225
  
  ## 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: 2e-05
  - train_batch_size: 16
  - eval_batch_size: 48
  - seed: 1799
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.0798        | 0.11  | 200  | 1.7813          |
  | 1.8704        | 0.23  | 400  | 1.7363          |
  | 1.8398        | 0.34  | 600  | 1.7100          |
  | 1.8068        | 0.45  | 800  | 1.6951          |
  | 1.8013        | 0.56  | 1000 | 1.6851          |
  | 1.8008        | 0.68  | 1200 | 1.6769          |
  | 1.783         | 0.79  | 1400 | 1.6609          |
  | 1.7459        | 0.9   | 1600 | 1.6578          |
  | 1.7394        | 1.02  | 1800 | 1.6605          |
  | 1.7036        | 1.13  | 2000 | 1.6464          |
  | 1.705         | 1.24  | 2200 | 1.6442          |
  | 1.6903        | 1.36  | 2400 | 1.6505          |
  | 1.6864        | 1.47  | 2600 | 1.6394          |
  | 1.7005        | 1.58  | 2800 | 1.6349          |
  | 1.6858        | 1.69  | 3000 | 1.6380          |
  | 1.6722        | 1.81  | 3200 | 1.6343          |
  | 1.6512        | 1.92  | 3400 | 1.6319          |
  | 1.6717        | 2.03  | 3600 | 1.6336          |
  | 1.636         | 2.15  | 3800 | 1.6352          |
  | 1.643         | 2.26  | 4000 | 1.6225          |
  | 1.6308        | 2.37  | 4200 | 1.6227          |
  | 1.6115        | 2.48  | 4400 | 1.6278          |
  | 1.6342        | 2.6   | 4600 | 1.6249          |
  | 1.6301        | 2.71  | 4800 | 1.6320          |
  | 1.6164        | 2.82  | 5000 | 1.6302          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  