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IC_ver6trial_coco_swin_gpt2_50Apc_1e

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metadata
base_model: VK246/IC_ver6d_coco_swin_gpt2_50Bpc_1e
tags:
  - generated_from_trainer
datasets:
  - coco
metrics:
  - rouge
model-index:
  - name: IC_ver6trial_coco_swin_gpt2_50Apc_1e
    results: []

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