Vit-GPT2-COCO2017Sample-Flickr8k

This model is a fine-tuned version of NourFakih/image-captioning-Vit-GPT2-Flickr8k on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2359
• eval_rouge1: 40.7947
• eval_rouge2: 15.3254
• eval_rougeL: 36.9574
• eval_rougeLsum: 36.9431
• eval_gen_len: 11.504
• eval_runtime: 588.289
• eval_samples_per_second: 4.25
• eval_steps_per_second: 1.062
• epoch: 2.25
• step: 14000

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

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2