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_Nougat_Base_Edv_En_De_60-40_10Ktarget – AI Model by bustamiyusoef | AlphaNeural AI | AlphaNeural AI
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_Nougat_Base_Edv_En_De_60-40_10Ktarget
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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_10Ktarget
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: 1060.6898
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
17.9779
0.9959
147
20.3428
1977.7525
1.9959
294
507.7393
8081.0531
2.9959
441
941.0363
10172.2013
3.9959
588
1044.2408
10644.335
4.9959
735
1060.6898
Framework versions
Transformers 4.47.1
Pytorch 2.5.1+cu121
Tokenizers 0.21.0
