readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-sentiment-hub
    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. -->
  
  # t5-sentiment-hub
  
  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.0608
  - Rouge1: 97.0464
  - Rouge2: 0.0
  - Rougel: 97.0464
  - Rougelsum: 97.0464
  - Gen Len: 2.0
  
  ## 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: 4e-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: 5
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
  | 0.2061        | 0.84  | 250  | 0.1437          | 90.7173 | 0.0    | 90.7173 | 90.7173   | 2.0     |
  | 0.1223        | 1.69  | 500  | 0.1061          | 93.6709 | 0.0    | 93.6709 | 93.6709   | 2.0     |
  | 0.1188        | 2.53  | 750  | 0.0816          | 95.7806 | 0.0    | 95.7806 | 95.7806   | 2.0     |
  | 0.0794        | 3.38  | 1000 | 0.0766          | 95.7806 | 0.0    | 95.7806 | 95.7806   | 2.0     |
  | 0.1006        | 4.22  | 1250 | 0.0608          | 97.0464 | 0.0    | 97.0464 | 97.0464   | 2.0     |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  