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stable-diffusion-sinop – AI Model by saikiranmaddukuri | AlphaNeural AI
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stable-diffusion-sinop
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transformers
pytorch
tensorboard
git
image-to-text
generated_from_trainer
mit
endpoints_compatible
us
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stable-diffusion-sinop
This model is a fine-tuned version of
microsoft/git-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 6.7572
Wer Score: 72.7778
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: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Score
3.8191
50.0
50
6.7572
72.7778
Framework versions
Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
