readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: mt5-base-finetuned-summarization-V2
    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-finetuned-summarization-V2
  
  This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 8.3409
  - Rouge1: 6.1259
  - Rouge2: 1.4637
  - Rougel: 5.3192
  - Rougelsum: 5.7739
  - Gen Len: 9.9286
  
  ## 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: 2e-05
  - 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: 3
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
  | No log        | 1.0   | 15   | 10.0266         | 6.7528 | 2.8064 | 5.9938 | 6.4352    | 10.0    |
  | No log        | 2.0   | 30   | 8.4159          | 6.1259 | 1.4637 | 5.3192 | 5.7739    | 10.0714 |
  | No log        | 3.0   | 45   | 8.3409          | 6.1259 | 1.4637 | 5.3192 | 5.7739    | 9.9286  |
  
  
  ### Framework versions
  
  - Transformers 4.18.0
  - Pytorch 1.11.0
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  