readme: ---
  license: apache-2.0
  tags:
  - summarization
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-small-mohamed-elmogy
    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-mohamed-elmogy
  
  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: nan
  - Rouge1: 0.0
  - Rouge2: 0.0
  - Rougel: 0.0
  - Rougelsum: 0.0
  
  ## 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: 16
  - eval_batch_size: 16
  - 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 |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | No log        | 1.0   | 1141 | 9.4719          | 0.0    | 0.0    | 0.0    | 0.0       |
  | 40.4884       | 2.0   | 2282 | 78.1757         | 0.0    | 0.0    | 0.0    | 0.0       |
  | 40.4884       | 3.0   | 3423 | 54.3033         | 0.0    | 0.0    | 0.0    | 0.0       |
  | 72.4118       | 4.0   | 4564 | 75.8558         | 0.0    | 0.0    | 0.0    | 0.0       |
  | 72.4118       | 5.0   | 5705 | 12.4297         | 0.0    | 0.0    | 0.0    | 0.0       |
  | 24.3571       | 6.0   | 6846 | 12.4297         | 0.0    | 0.0    | 0.0    | 0.0       |
  | 24.3571       | 7.0   | 7987 | 12.4297         | 0.0    | 0.0    | 0.0    | 0.0       |
  | 16.5474       | 8.0   | 9128 | nan             | 0.0    | 0.0    | 0.0    | 0.0       |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  