readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-small-finetuned-12jan-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-12jan-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: 2.9905
  - Rouge1: 4.2716
  - Rouge2: 1.1321
  - Rougel: 4.2228
  - Rougelsum: 4.1897
  
  ## 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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 12.0145       | 1.0   | 60   | 3.5159          | 2.6024 | 0.225  | 2.4651 | 2.5016    |
  | 5.2536        | 2.0   | 120  | 3.1553          | 4.8249 | 0.5429 | 4.5041 | 4.769     |
  | 4.2443        | 3.0   | 180  | 3.0822          | 4.4257 | 0.9397 | 4.254  | 4.326     |
  | 3.9773        | 4.0   | 240  | 3.0111          | 4.6342 | 1.0433 | 4.4909 | 4.5655    |
  | 3.8311        | 5.0   | 300  | 2.9905          | 4.2716 | 1.1321 | 4.2228 | 4.1897    |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  