readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-base-msmarco-nlgen-ob
    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. -->
  
  # t5-base-msmarco-nlgen-ob
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the [MS MARCO Natural Language Generation](https://huggingface.co/datasets/din0s/msmarco-nlgen) dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.3874
  - Rougelsum: 14.4418
  
  ## 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: 0.0001
  - 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: 1
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rougelsum |
  |:-------------:|:-----:|:-----:|:---------------:|:---------:|
  | 0.5472        | 0.13  | 2500  | 0.4383          | 14.2497   |
  | 0.5238        | 0.26  | 5000  | 0.4252          | 14.4210   |
  | 0.501         | 0.39  | 7500  | 0.4093          | 14.3315   |
  | 0.4958        | 0.52  | 10000 | 0.4006          | 14.3347   |
  | 0.4913        | 0.66  | 12500 | 0.3944          | 14.5925   |
  | 0.4873        | 0.79  | 15000 | 0.3914          | 14.4193   |
  | 0.466         | 0.92  | 17500 | 0.3874          | 14.4418   |
  
  
  ### Framework versions
  
  - Transformers 4.23.0.dev0
  - Pytorch 1.12.1+cu102
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  