readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-small-finetuned-18jan-2
    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-18jan-2
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.6070
  - Rouge1: 5.8815
  - Rouge2: 0.3333
  - Rougel: 5.8065
  - Rougelsum: 5.7756
  
  ## 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: 0.0002
  - train_batch_size: 10
  - eval_batch_size: 10
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 7.6303        | 1.0   | 60   | 3.0842          | 5.9419 | 0.9768 | 6.0316 | 6.0505    |
  | 3.8899        | 2.0   | 120  | 2.7540          | 7.8799 | 0.5667 | 7.9069 | 7.8884    |
  | 3.4335        | 3.0   | 180  | 2.7391          | 8.4788 | 0.5667 | 8.4352 | 8.4595    |
  | 3.2524        | 4.0   | 240  | 2.6775          | 8.6704 | 0.4167 | 8.6495 | 8.6537    |
  | 3.0853        | 5.0   | 300  | 2.6776          | 7.8484 | 0.1667 | 7.7371 | 7.7464    |
  | 2.974         | 6.0   | 360  | 2.6641          | 8.4292 | 0.1667 | 8.2708 | 8.35      |
  | 2.9018        | 7.0   | 420  | 2.6233          | 7.1548 | 0.3333 | 7.1393 | 7.1179    |
  | 2.859         | 8.0   | 480  | 2.6238          | 6.6333 | 0.4167 | 6.597  | 6.5845    |
  | 2.8123        | 9.0   | 540  | 2.5961          | 6.4519 | 0.3333 | 6.3113 | 6.3519    |
  | 2.7843        | 10.0  | 600  | 2.6070          | 5.8815 | 0.3333 | 5.8065 | 5.7756    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  