Vit-GPT2-UCA-UCF-05

This model is a fine-tuned version of NourFakih/Vit-GPT2-COCO2017Flickr-85k-09 on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2266
• eval_rouge1: 28.1525
• eval_rouge2: 6.9403
• eval_rougeL: 23.8393
• eval_rougeLsum: 24.0611
• eval_gen_len: 15.274
• eval_runtime: 1142.2537
• eval_samples_per_second: 8.755
• eval_steps_per_second: 2.189
• epoch: 0.1770
• 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: 4
• total_train_batch_size: 16
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.3.1
• Tokenizers 0.21.0