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IC_ver1_coco_swin_gpt2_5pc_2e – AI Model by VK246 | AlphaNeural AI
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VK246
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IC_ver1_coco_swin_gpt2_5pc_2e
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transformers
pytorch
tensorboard
vision-encoder-decoder
image-to-text
generated_from_trainer
coco
endpoints_compatible
us
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IC_ver1_coco_swin_gpt2_5pc_2e
This model is a fine-tuned version of
on the coco dataset. It achieves the following results on the evaluation set:
Loss: 0.9700
Rouge1: 36.317
Rouge2: 12.0175
Rougel: 33.7883
Rougelsum: 33.7342
Bleu: 6.5392
Gen Len: 11.2887
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: 100
eval_batch_size: 100
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Bleu
Gen Len
1.29
0.71
200
1.0273
33.6256
10.3076
31.0868
31.0562
5.5088
11.2887
1.0193
1.41
400
0.9700
36.317
12.0175
33.7883
33.7342
6.5392
11.2887
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
