readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: Xegho.30.4
    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. -->
  
  # Xegho.30.4
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.1814
  - Bleu: 87.4768
  
  ## 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: 1e-05
  - train_batch_size: 4
  - eval_batch_size: 4
  - seed: 121
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 30
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|
  | No log        | 1.19  | 100  | 1.2331          | 23.9598 |
  | No log        | 2.38  | 200  | 0.7943          | 39.0191 |
  | No log        | 3.57  | 300  | 0.5889          | 42.0816 |
  | No log        | 4.76  | 400  | 0.4595          | 47.6986 |
  | 1.0058        | 5.95  | 500  | 0.3801          | 49.9630 |
  | 1.0058        | 7.14  | 600  | 0.3209          | 50.4290 |
  | 1.0058        | 8.33  | 700  | 0.2848          | 51.1531 |
  | 1.0058        | 9.52  | 800  | 0.2544          | 54.0631 |
  | 1.0058        | 10.71 | 900  | 0.2338          | 56.3553 |
  | 0.3559        | 11.9  | 1000 | 0.2224          | 59.7317 |
  | 0.3559        | 13.1  | 1100 | 0.2110          | 62.2114 |
  | 0.3559        | 14.29 | 1200 | 0.2060          | 63.4936 |
  | 0.3559        | 15.48 | 1300 | 0.1994          | 63.7621 |
  | 0.3559        | 16.67 | 1400 | 0.1959          | 63.3415 |
  | 0.2423        | 17.86 | 1500 | 0.1932          | 63.7683 |
  | 0.2423        | 19.05 | 1600 | 0.1898          | 64.2757 |
  | 0.2423        | 20.24 | 1700 | 0.1901          | 64.2757 |
  | 0.2423        | 21.43 | 1800 | 0.1875          | 64.1890 |
  | 0.2423        | 22.62 | 1900 | 0.1852          | 63.8513 |
  | 0.2051        | 23.81 | 2000 | 0.1837          | 64.4531 |
  | 0.2051        | 25.0  | 2100 | 0.1829          | 64.4531 |
  | 0.2051        | 26.19 | 2200 | 0.1818          | 64.6303 |
  | 0.2051        | 27.38 | 2300 | 0.1817          | 64.6303 |
  | 0.2051        | 28.57 | 2400 | 0.1816          | 65.0213 |
  | 0.186         | 29.76 | 2500 | 0.1814          | 65.0213 |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0a0+17540c5
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  