readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  - summarization
  metrics:
  - rouge
  model-index:
  - name: mt5-small-finetuned-arxiv-cs
    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. -->
  
  # mt5-small-finetuned-arxiv-cs
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on a subset of the arxiv dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.6922
  - Rouge1: 0.7734
  - Rouge2: 0.2865
  - Rougel: 0.6665
  - Rougelsum: 0.6743
  
  ## 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: 5.6e-05
  - 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: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 14.0947       | 1.0   | 500  | 2.7666          | 1.2101 | 0.459  | 1.1426 | 1.1385    |
  | 2.8524        | 2.0   | 1000 | 1.8208          | 0.0    | 0.0    | 0.0    | 0.0       |
  | 2.2623        | 3.0   | 1500 | 1.6922          | 0.7734 | 0.2865 | 0.6665 | 0.6743    |
  
  
  ### Framework versions
  
  - Transformers 4.12.5
  - Pytorch 1.10.0+cu111
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  