readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  datasets:
  - amazon_reviews_multi
  metrics:
  - rouge
  model-index:
  - name: mt5-small-amrit-finetuned-amazon-en
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: amazon_reviews_multi
        type: amazon_reviews_multi
        args: en
      metrics:
      - name: Rouge1
        type: rouge
        value: 15.4603
  ---
  
  <!-- 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-amrit-finetuned-amazon-en
  
  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the amazon_reviews_multi dataset.
  It achieves the following results on the evaluation set:
  - Loss: 3.3112
  - Rouge1: 15.4603
  - Rouge2: 7.1882
  - Rougel: 15.2221
  - Rougelsum: 15.1231
  
  ## 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 |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|
  | 8.7422        | 1.0   | 771  | 3.6517          | 12.9002 | 4.8601 | 12.6743 | 12.6561   |
  | 4.1322        | 2.0   | 1542 | 3.4937          | 14.1146 | 6.5433 | 14.0882 | 14.0484   |
  | 3.7426        | 3.0   | 2313 | 3.4070          | 14.4797 | 6.8527 | 14.1544 | 14.2753   |
  | 3.5743        | 4.0   | 3084 | 3.3439          | 15.9805 | 7.8873 | 15.4935 | 15.41     |
  | 3.4489        | 5.0   | 3855 | 3.3122          | 16.5749 | 7.9809 | 16.1922 | 16.1226   |
  | 3.3602        | 6.0   | 4626 | 3.3187          | 16.4809 | 7.7656 | 16.211  | 16.1185   |
  | 3.3215        | 7.0   | 5397 | 3.3180          | 15.4615 | 7.1361 | 15.1919 | 15.1144   |
  | 3.294         | 8.0   | 6168 | 3.3112          | 15.4603 | 7.1882 | 15.2221 | 15.1231   |
  
  
  ### Framework versions
  
  - Transformers 4.20.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  