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ViT-GPT2-Image-Captioning – AI Model by mo-thecreator | AlphaNeural AI
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mo-thecreator
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ViT-GPT2-Image-Captioning
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transformers
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
mo-thecreator/ViT-GPT2-Image_Captioning_model
finetune
endpoints_compatible
us
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ViT-GPT2
This model is a fine-tuned version of
motheecreator/ViT-GPT2-Image_Captioning_model
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.125337
Rouge2 Precision: None
Rouge2 Recall: None
Rouge2 Fmeasure: 0.155
Bleu: 9.7054
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge2 Precision
Rouge2 Recall
Rouge2 Fmeasure
Bleu
2.1537
0.9993
1171
2.13666
None
None
0.1531
9.4673
2.0434
1.9985
2342
2.125337
None
None
0.155
9.7054
Framework versions
Transformers 4.44.2
Pytorch 2.4.0
Datasets 3.0.0
Tokenizers 0.19.1
