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IC_ver5a_coco_swin_gpt2_05pc_1e – AI Model by VK246 | AlphaNeural AI
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IC_ver5a_coco_swin_gpt2_05pc_1e
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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_ver5a_coco_swin_gpt2_05pc_1e
This model is a fine-tuned version of
on the coco dataset. It achieves the following results on the evaluation set:
Loss: 1.2245
Rouge1: 22.0956
Rouge2: 2.7707
Rougel: 20.6806
Rougelsum: 20.6915
Bleu: 1.2101
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
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Bleu
Gen Len
2.1625
0.42
25
1.2744
22.7707
2.4514
20.6431
20.6829
0.0
11.1124
1.3438
0.85
50
1.2374
21.3271
2.4116
19.7122
19.7385
0.7474
11.1124
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
