readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  metrics:
  - rouge
  model-index:
  - name: t5-small-finetuned-audio-text-cc
    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-small-finetuned-audio-text-cc
  
  This model is a fine-tuned version of [marianna13/t5-small-finetuned-audio-text-cc](https://huggingface.co/marianna13/t5-small-finetuned-audio-text-cc) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.1080
  - Rouge1: 0.4038
  - Rouge2: 0.3319
  - Rougel: 0.3953
  - Rougelsum: 0.396
  - Gen Len: 18.9512
  
  ## 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: 4
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
  | No log        | 1.0   | 21   | 1.2221          | 0.2804 | 0.2232 | 0.2662 | 0.2684    | 18.9268 |
  | No log        | 2.0   | 42   | 1.1502          | 0.3769 | 0.3105 | 0.3685 | 0.368     | 19.0    |
  | No log        | 3.0   | 63   | 1.1188          | 0.3969 | 0.3226 | 0.3892 | 0.389     | 18.9512 |
  | No log        | 4.0   | 84   | 1.1080          | 0.4038 | 0.3319 | 0.3953 | 0.396     | 18.9512 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.8.0
  - Tokenizers 0.13.2
  