readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - coco_dataset_script
  metrics:
  - rouge
  model-index:
  - name: image-captioning-output
    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. -->
  
  # image-captioning-output
  
  This model is a fine-tuned version of [](https://huggingface.co/) on the coco_dataset_script dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2022
  - Rouge1: 0.0
  - Rouge2: 0.0
  - Rougel: 0.0
  - Rougelsum: 0.0
  
  ## 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: 5e-05
  - train_batch_size: 2
  - eval_batch_size: 2
  - seed: 42
  - gradient_accumulation_steps: 4
  - total_train_batch_size: 8
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
  | 0.2359        | 1.0   | 739  | 0.1911          | 0.0    | 0.0    | 0.0    | 0.0       |
  | 0.2169        | 2.0   | 1478 | 0.2022          | 0.0    | 0.0    | 0.0    | 0.0       |
  | 0.1739        | 3.0   | 2217 | 0.2022          | 0.0    | 0.0    | 0.0    | 0.0       |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu116
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  