IC_ver6trial_coco_swin_gpt2_50Apc_1e

This model is a fine-tuned version of VK246/IC_ver6d_coco_swin_gpt2_50Bpc_1e on the coco dataset. It achieves the following results on the evaluation set:

• Loss: 0.8113
• Cider: 43.6787
• Rouge1: 41.4057
• Rouge2: 16.177
• Rougel: 38.9636
• Rougelsum: 38.8335
• Bleu-1: 43.1153
• Bleu-2: 24.9997
• Bleu-3: 15.7558
• Bleu-4: 10.4674
• Gen Len: 11.1124

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: 96
• eval_batch_size: 96
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3