BITAmin_Pet

This model is a fine-tuned version of ddobokki/vision-encoder-decoder-vit-gpt2-coco-ko on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.1144
• eval_rouge1: 0.3019
• eval_rouge2: 0.0755
• eval_rougeL: 0.2642
• eval_rougeLsum: 0.3019
• eval_gen_len: 100.0
• eval_runtime: 1560.6796
• eval_samples_per_second: 0.849
• eval_steps_per_second: 0.425
• epoch: 2.0
• step: 11926

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1