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image-captioning-output – AI Model by Winmodel | AlphaNeural AI
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Winmodel
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image-captioning-output
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transformers
tensorboard
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
endpoints_compatible
us
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image-captioning-output
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2689
Rouge1: 0.0
Rouge2: 0.0
Rougel: 0.0
Rougelsum: 0.0
Gen Len: 9.707
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: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Rouge1
Rouge2
Rougel
Rougelsum
Gen Len
No log
1.0
375
0.3010
0.0
0.0
0.0
0.0
10.073
0.391
2.0
750
0.2773
0.0
0.0
0.0
0.0
12.193
0.2852
3.0
1125
0.2689
0.0
0.0
0.0
0.0
9.707
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2
