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: 0.3319
- Rouge1: 21.9307
- Rouge2: 4.1909
- Rougel: 20.068
- Rougelsum: 19.9653
- Gen Len: 12.0625
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: 4
- eval_batch_size: 4
- seed: 42
- 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 20 | 0.3359 | 18.236 | 0.5556 | 18.2694 | 18.255 | 7.0 |
| No log | 2.0 | 40 | 0.3315 | 19.2924 | 3.6258 | 18.3375 | 18.3568 | 14.1875 |
| No log | 3.0 | 60 | 0.3319 | 21.9307 | 4.1909 | 20.068 | 19.9653 | 12.0625 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0