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VK246/IC_ver6F_coco_swin_gpt2_50B_1e

sourceHugging Faceupdated 3y agoView on Hugging Face
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Model Card

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ICver6Fcocoswingpt250B1e

This model is a fine-tuned version of VK246/IC_ver6e_coco_swin_gpt2_50Apc_1e on the coco dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7799
  • —Cider: 5.8986
  • —Rouge1: 42.1787
  • —Rouge2: 16.6289
  • —Rougel: 38.245
  • —Rougelsum: 38.236
  • —Bleu-1: 43.2152
  • —Bleu-2: 25.0563
  • —Bleu-3: 15.845
  • —Bleu-4: 10.5042
  • —Gen Len: 11.3063

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
  • —trainbatchsize: 96
  • —evalbatchsize: 96
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 1

Training results

Training LossEpochStepValidation LossCiderRouge1Rouge2RougelRougelsumBleu-1Bleu-2Bleu-3Bleu-4Gen Len
0.69720.3410000.81285.831441.399216.127837.567537.553742.663724.581515.501810.246511.3063
0.73180.6820000.79126.971641.824416.328237.959437.952542.762324.730515.645810.406711.3063

Framework versions

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