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g-patentsbertav2-e2e – AI Model by HamidBekam | AlphaNeural AI
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HamidBekam
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g-patentsbertav2-e2e
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transformers
tensorboard
safetensors
mpnet
text-classification
generated_from_trainer
HamidBekam/g-patentsbertav2-e2e
finetune
text-embeddings-inference
endpoints_compatible
us
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g-patentsbertav2-e2e
This model is a fine-tuned version of
HamidBekam/g-patentsbertav2-e2e
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0157
Accuracy: 1.0
F1: 1.0
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: 1e-05
train_batch_size: 3
eval_batch_size: 24
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
94
0.0061
1.0
1.0
No log
2.0
188
0.0160
1.0
1.0
No log
3.0
282
0.0157
1.0
1.0
Framework versions
Transformers 4.57.6
Pytorch 2.8.0+cu128
Datasets 4.4.2
Tokenizers 0.22.2
