readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-small-test-amazon
    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-test-amazon
  
  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: 1.9515
  - Rouge1: 30.3066
  - Rouge2: 3.3019
  - Rougel: 30.1887
  - Rougelsum: 30.0314
  
  ## 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: 8
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
  | 10.0147       | 1.0   | 1004 | 2.9904          | 7.3703  | 0.2358 | 7.3703  | 7.4292    |
  | 3.4892        | 2.0   | 2008 | 2.4061          | 23.4178 | 2.4764 | 23.2901 | 23.3097   |
  | 2.724         | 3.0   | 3012 | 2.1630          | 26.6706 | 2.8302 | 26.6509 | 26.5723   |
  | 2.4395        | 4.0   | 4016 | 2.0815          | 26.7296 | 2.9481 | 26.6313 | 26.533    |
  | 2.2881        | 5.0   | 5020 | 2.0048          | 30.1887 | 3.3019 | 30.0708 | 29.9135   |
  | 2.1946        | 6.0   | 6024 | 1.9712          | 29.4811 | 2.9481 | 29.4025 | 29.3042   |
  | 2.1458        | 7.0   | 7028 | 1.9545          | 29.8153 | 3.3019 | 29.717  | 29.5204   |
  | 2.1069        | 8.0   | 8032 | 1.9515          | 30.3066 | 3.3019 | 30.1887 | 30.0314   |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  