readme: ---
  license: apache-2.0
  tags:
  - Poet
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-small-ibn-Shaddad-v4
    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-ibn-Shaddad-v4
  
  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: 2.9233
  - 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: 4
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 5.0001        | 1.0   | 935  | 3.1102          | 0.0    | 0.0    | 0.0    | 0.0       |
  | 3.4066        | 2.0   | 1870 | 2.9836          | 0.0    | 0.0    | 0.0    | 0.0       |
  | 3.2832        | 3.0   | 2805 | 2.9384          | 0.0    | 0.0    | 0.0    | 0.0       |
  | 3.2334        | 4.0   | 3740 | 2.9233          | 0.0    | 0.0    | 0.0    | 0.0       |
  
  
  ### Framework versions
  
  - Transformers 4.20.1
  - Pytorch 1.12.0+cu113
  - Datasets 2.3.2
  - Tokenizers 0.12.1
  