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document_type_identification – AI Model by sguarnaccio | AlphaNeural AI
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sguarnaccio
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document_type_identification
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transformers
tensorboard
safetensors
bert
text-classification
generated_from_trainer
sguarnaccio/document_type_identification
finetune
cc-by-sa-4.0
autotrain_compatible
endpoints_compatible
us
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document_type_identification
This model is a fine-tuned version of
sguarnaccio/document_type_identification
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1899
Accuracy: 0.9452
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: 8
eval_batch_size: 8
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
Accuracy
0.3343
1.0
748
0.1788
0.9264
0.2262
2.0
1496
0.2216
0.9365
0.1487
3.0
2244
0.1899
0.9452
Framework versions
Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2
