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_Nougat_base_Edv_Ar_Jw_01 – AI Model by bustamiyusoef | AlphaNeural AI
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_Nougat_base_Edv_Ar_Jw_01
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transformers
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
MohamedRashad/arabic-base-nougat
finetune
gpl-3.0
endpoints_compatible
us
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_Nougat_base_Edv_Ar_Jw_01
This model is a fine-tuned version of
MohamedRashad/arabic-base-nougat
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 215.0827
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
4.709
0.9921
50
19.4147
56.2705
1.9841
100
97.9264
133.0768
2.9960
151
169.9002
190.6351
3.9881
201
209.3590
211.9225
4.9603
250
215.0827
Framework versions
Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
