readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-small-finetuned-17jan-1
    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-17jan-1
  
  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: 2.6637
  - Rouge1: 8.3942
  - Rouge2: 0.8333
  - Rougel: 8.2847
  - Rougelsum: 8.3183
  
  ## 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: 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 |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 11.5311       | 1.0   | 60   | 3.3693          | 3.5755 | 0.6    | 3.6    | 3.5118    |
  | 4.9804        | 2.0   | 120  | 2.9852          | 5.1928 | 0.9667 | 5.205  | 5.1941    |
  | 4.0171        | 3.0   | 180  | 2.8622          | 5.8468 | 0.5889 | 5.9029 | 5.8766    |
  | 3.7179        | 4.0   | 240  | 2.7056          | 8.4114 | 0.5    | 8.5056 | 8.4553    |
  | 3.514         | 5.0   | 300  | 2.7171          | 9.3353 | 0.8333 | 9.2709 | 9.3029    |
  | 3.4154        | 6.0   | 360  | 2.7082          | 8.6179 | 0.4167 | 8.5622 | 8.5483    |
  | 3.3356        | 7.0   | 420  | 2.6801          | 8.3942 | 0.8333 | 8.2847 | 8.3183    |
  | 3.3008        | 8.0   | 480  | 2.6757          | 8.2384 | 0.4167 | 8.1169 | 8.1087    |
  | 3.2493        | 9.0   | 540  | 2.6646          | 8.2384 | 0.4167 | 8.1169 | 8.1087    |
  | 3.2307        | 10.0  | 600  | 2.6637          | 8.3942 | 0.8333 | 8.2847 | 8.3183    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  