Vit-GPT2-COCO2017Flickr-80k-06

This model is a fine-tuned version of NourFakih/Vit-GPT2-COCO2017Flickr-40k-04 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.4835
• eval_rouge1: 39.387
• eval_rouge2: 14.3216
• eval_rougeL: 35.7731
• eval_rougeLsum: 35.7812
• eval_gen_len: 11.9952
• eval_runtime: 989.7222
• eval_samples_per_second: 7.838
• eval_steps_per_second: 1.96
• epoch: 0.1
• step: 1000

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
• gradient_accumulation_steps: 2
• 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

Framework versions

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