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Method-1-model-2 – AI Model by Bhavesh1609 | AlphaNeural AI
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Method-1-model-2
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transformers
tensorboard
safetensors
camembert
token-classification
generated_from_trainer
konverner/distilcamembert-base-ner-address
finetune
autotrain_compatible
endpoints_compatible
us
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Method-1-model-2
This model is a fine-tuned version of
konverner/distilcamembert-base-ner-address
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1194
Precision: 0.9268
Recall: 1.0
F1: 0.9620
Accuracy: 0.9848
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: 2e-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
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
64
0.1575
0.7778
0.9211
0.8434
0.9727
No log
2.0
128
0.1508
0.95
1.0
0.9744
0.9783
No log
3.0
192
0.1194
0.9268
1.0
0.9620
0.9848
Framework versions
Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
