readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: flan-t5-large-extraction-cnndm_fs0.05-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_fs0.05-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: 1.6598
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|
  | 2.0976        | 0.23  | 200  | 1.7854          |
  | 1.9321        | 0.45  | 400  | 1.7458          |
  | 1.891         | 0.68  | 600  | 1.7279          |
  | 1.8488        | 0.9   | 800  | 1.7043          |
  | 1.8054        | 1.13  | 1000 | 1.7050          |
  | 1.776         | 1.35  | 1200 | 1.6931          |
  | 1.7713        | 1.58  | 1400 | 1.6847          |
  | 1.7584        | 1.81  | 1600 | 1.6859          |
  | 1.7516        | 2.03  | 1800 | 1.6801          |
  | 1.7185        | 2.26  | 2000 | 1.6720          |
  | 1.7087        | 2.48  | 2200 | 1.6768          |
  | 1.7072        | 2.71  | 2400 | 1.6646          |
  | 1.6804        | 2.93  | 2600 | 1.6618          |
  | 1.6675        | 3.16  | 2800 | 1.6630          |
  | 1.6713        | 3.39  | 3000 | 1.6598          |
  | 1.6557        | 3.61  | 3200 | 1.6668          |
  | 1.6597        | 3.84  | 3400 | 1.6641          |
  | 1.6598        | 4.06  | 3600 | 1.6643          |
  | 1.6533        | 4.29  | 3800 | 1.6647          |
  | 1.652         | 4.51  | 4000 | 1.6646          |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.5.1
  - Tokenizers 0.12.1
  