readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - bleu
  model-index:
  - name: mt5-base_2_3
    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-base_2_3
  
  This model is a fine-tuned version of [obokkkk/mt5-base_2](https://huggingface.co/obokkkk/mt5-base_2) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1465
  - Bleu: 9.5474
  - Gen Len: 17.854
  
  ## 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
  - gradient_accumulation_steps: 64
  - total_train_batch_size: 512
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
  | No log        | 1.0   | 175  | 1.1739          | 9.0271 | 17.8543 |
  | No log        | 2.0   | 350  | 1.1660          | 9.1398 | 17.8468 |
  | 1.3653        | 3.0   | 525  | 1.1585          | 9.251  | 17.8656 |
  | 1.3653        | 4.0   | 700  | 1.1538          | 9.3176 | 17.8476 |
  | 1.3653        | 5.0   | 875  | 1.1518          | 9.3529 | 17.8608 |
  | 1.2985        | 6.0   | 1050 | 1.1505          | 9.4818 | 17.8552 |
  | 1.2985        | 7.0   | 1225 | 1.1475          | 9.499  | 17.8575 |
  | 1.2985        | 8.0   | 1400 | 1.1471          | 9.5511 | 17.871  |
  | 1.2632        | 9.0   | 1575 | 1.1459          | 9.5315 | 17.8547 |
  | 1.2632        | 10.0  | 1750 | 1.1465          | 9.5474 | 17.854  |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  