readme: ---
  license: mit
  tags:
  - generated_from_trainer
  datasets:
  - dataset
  metrics:
  - bleu
  model-index:
  - name: m2m100_418M-test
    results:
    - task:
        name: Sequence-to-sequence Language Modeling
        type: text2text-generation
      dataset:
        name: dataset
        type: dataset
        config: uptycs
        split: train
        args: uptycs
      metrics:
      - name: Bleu
        type: bleu
        value: 29.9962
  ---
  
  <!-- 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. -->
  
  # m2m100_418M-test
  
  This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the dataset dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.9953
  - Bleu: 29.9962
  - Gen Len: 41.6441
  
  ## 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: 0.0001
  - 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: 1
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
  | 0.3804        | 1.0   | 1267 | 0.9953          | 29.9962 | 41.6441 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.1+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  