metadata
tags:
- generated_from_trainer
datasets:
- coco_dataset_script
metrics:
- rouge
model-index:
- name: image-captioning-output
results: []
image-captioning-output
This model is a fine-tuned version of 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