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_Nougat_Base_Edv_En_De_60-40_5Ktarget – AI Model by bustamiyusoef | AlphaNeural AI
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_Nougat_Base_Edv_En_De_60-40_5Ktarget
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transformers
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
facebook/nougat-base
finetune
cc-by-nc-4.0
endpoints_compatible
us
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_Nougat_Base_Edv_En_De_60-40_5Ktarget
This model is a fine-tuned version of
facebook/nougat-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 112.2584
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 10
total_train_batch_size: 80
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
23.5676
1.0
90
1.6737
15.0965
2.0
180
1.7021
281.9342
3.0
270
64.7592
942.554
4.0
360
107.4380
1077.1051
4.9540
445
112.2584
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Tokenizers 0.21.0
